id stringlengths 64 64 | published stringlengths 19 25 | title stringlengths 7 262 | description stringlengths 6 54.4k | link stringlengths 31 227 | category stringclasses 6
values | image stringlengths 3 247 |
|---|---|---|---|---|---|---|
557fb052f39dfd29455d9979b010168b1ae03dde8a459ea44012ba14923b1608 | 2026-01-13T00:00:00-05:00 | A Kernelization-Based Approach to Nonparametric Binary Choice Models | arXiv:2410.15734v2 Announce Type: replace Abstract: We propose a new estimator for nonparametric binary choice models that does not impose a parametric structure on either the systematic function of covariates or the distribution of the error term. A key advantage of our approach is its computational scalability in the... | https://arxiv.org/abs/2410.15734 | Academic Papers | svg |
a749ca5747d20421d181c38d46cbfc5d5d2e5d11cb342b544e64a7ef6d5e1110 | 2026-01-13T00:00:00-05:00 | Floods do not sink prices, historical memory does: How flood risk impacts the Italian housing market | arXiv:2502.12116v3 Announce Type: replace Abstract: Do home prices incorporate flood risk in the immediate aftermath of specific flood events, or is it the repeated exposure over the years that plays a more significant role? We address this question through the first systematic study of the Italian housing market, whic... | https://arxiv.org/abs/2502.12116 | Academic Papers | svg |
01f161fae9e8b404de97f78cd0945bc96b4801e73e65714376b1c943d946f610 | 2026-01-13T00:00:00-05:00 | Does Ideological Polarization Lead to Policy Polarization? | arXiv:2502.14712v5 Announce Type: replace Abstract: I study an election between two ideologically polarized parties that are both office- and policy-motivated. The parties compete by proposing policies on a single issue. The analysis uncovers a non-monotonic relationship between ideological and policy polarization. Whe... | https://arxiv.org/abs/2502.14712 | Academic Papers | svg |
f490d215783e9a0e9c8b92dde28cf7b217720794fc7d63789b614f4c1a4ffdcb | 2026-01-13T00:00:00-05:00 | The heterogeneous causal effects of the EU's Cohesion Fund | arXiv:2504.13223v2 Announce Type: replace Abstract: This paper estimates the causal effect of EU cohesion policy on regional output and investment, focusing on the Cohesion Fund (CF), a comparatively understudied instrument. Departing from standard approaches such as regression discontinuity (RDD) and instrumental vari... | https://arxiv.org/abs/2504.13223 | Academic Papers | svg |
7b87f0196021cdbe142890f97c937eccd276b302b62bb784f2e125e76b05fc7c | 2026-01-13T00:00:00-05:00 | Causal Inference for Experiments with Latent Outcomes: Key Results and Their Implications for Design and Analysis | arXiv:2505.21909v3 Announce Type: replace Abstract: How should researchers analyze randomized experiments in which the main outcome is latent and measured in multiple ways but each measure contains some degree of error? We first identify a critical study-specific noncomparability problem in existing methods for handlin... | https://arxiv.org/abs/2505.21909 | Academic Papers | svg |
3a9571bc47e3c34d196ce162eafad4f205b811d2fd694d232d86a7db5bf6d9c4 | 2026-01-13T00:00:00-05:00 | Making Interpretable Discoveries from Unstructured Data: A High-Dimensional Multiple Hypothesis Testing Approach | arXiv:2511.01680v2 Announce Type: replace Abstract: Social scientists are increasingly turning to unstructured datasets to unlock new empirical insights, e.g., estimating descriptive statistics of or causal effects on quantitative measures derived from text, audio, or video data. In many such settings, unsupervised ana... | https://arxiv.org/abs/2511.01680 | Academic Papers | svg |
2ba79e2f9117a4ae04a369b5e9b7504b223f4540413f0bb544dcce3c0098094b | 2026-01-13T00:00:00-05:00 | Quantile Selection in the Gender Pay Gap | arXiv:2511.16187v2 Announce Type: replace Abstract: We propose a new approach to estimate selection-corrected quantiles of the gender wage gap. Our method employs instrumental variables that explain variation in the latent variable but, conditional on the latent process, do not directly affect selection. We provide sem... | https://arxiv.org/abs/2511.16187 | Academic Papers | svg |
e8d2e8555163f6559438c771bfcd048c4a82d87c5f8eaaea3f5986b364b73da0 | 2026-01-13T00:00:00-05:00 | Graph structure learning for stable processes | arXiv:2601.06264v1 Announce Type: new Abstract: We introduce Ising-H\"usler-Reiss processes, a new class of multivariate L\'evy processes that allows for sparse modeling of the path-wise conditional independence structure between marginal stable processes with different stability indices. The underlying conditional ind... | https://arxiv.org/abs/2601.06264 | Academic Papers | svg |
6f698fdd61f3708973380a82e7606f039a7286d66e53a929374fb64340e53792 | 2026-01-13T00:00:00-05:00 | A Framework for Estimating Restricted Mean Survival Time Difference using Pseudo-observations | arXiv:2601.06296v1 Announce Type: new Abstract: A targeted learning (TL) framework is developed to estimate the difference in the restricted mean survival time (RMST) for a clinical trial with time-to-event outcomes. The approach starts by defining the target estimand as the RMST difference between investigational and ... | https://arxiv.org/abs/2601.06296 | Academic Papers | svg |
2648c2125bb2e947465bacc9041bdc983b5be3aa7ca08423d33600e1e86bfb61 | 2026-01-13T00:00:00-05:00 | Efficient Data Reduction Via PCA-Guided Quantile Based Sampling | arXiv:2601.06375v1 Announce Type: new Abstract: In large-scale statistical modeling, reducing data size through subsampling is essential for balancing computational efficiency and statistical accuracy. We propose a new method, Principal Component Analysis guided Quantile Sampling (PCA-QS), which projects data onto prin... | https://arxiv.org/abs/2601.06375 | Academic Papers | svg |
caeff30a93f7dc5e26bd5e53aa18957ce6f3822382bae1c7a6991124a0b4a1fa | 2026-01-13T00:00:00-05:00 | Empirical Likelihood Test for Common Invariant Subspace of Multilayer Networks based on Monte Carlo Approximation | arXiv:2601.06390v1 Announce Type: new Abstract: Multilayer (or multiple) networks are widely used to represent diverse patterns of relationships among objects in increasingly complex real-world systems. Identifying a common invariant subspace across network layers has become an active area of research, as such a subspa... | https://arxiv.org/abs/2601.06390 | Academic Papers | svg |
70daaa3461d1cae08959879c9438641e84bfcde6807f037072f32eb4a0c21c2f | 2026-01-13T00:00:00-05:00 | Triple-dyad ratio estimation for the $p_1$ model | arXiv:2601.06481v1 Announce Type: new Abstract: Although the $p_1$ model was proposed 40 years ago, little progress has been made to address asymptotic theories in this model, that is, neither consistency of the maximum likelihood estimator (MLE) nor other parameter estimation with statistical guarantees is understood.... | https://arxiv.org/abs/2601.06481 | Academic Papers | svg |
f9b978997f72e5b2bae0fa2b8167b4e6614ffda0b1d30cc2cd9a65339463a6a5 | 2026-01-13T00:00:00-05:00 | Bayesian Optimization of Noisy Log-Likelihoods Evaluated by Particle Filters -- One Parameter Case -- | arXiv:2601.06545v1 Announce Type: new Abstract: Likelihood functions evaluated using particle filters are typically noisy, computationally expensive, and non-differentiable due to Monte Carlo variability. These characteristics make conventional optimization methods difficult to apply directly or potentially unreliable.... | https://arxiv.org/abs/2601.06545 | Academic Papers | svg |
8e4ee34a41e334d16c009ee5d18e72664e0a583c364e3702fef7c9f07e9ec460 | 2026-01-13T00:00:00-05:00 | Mittag Leffler Distributions Estimation and Autoregressive Framework | arXiv:2601.06610v1 Announce Type: new Abstract: This work deals with the estimation of parameters of Mittag-Leffler (ML($\alpha, \sigma$)) distribution. We estimate the parameters of ML($\alpha, \sigma$) using empirical Laplace transform method. The simulation study indicates that the proposed method provides satisfact... | https://arxiv.org/abs/2601.06610 | Academic Papers | svg |
fd5ae007c4a6b26f0a23d638badfe641bd3345a021d997a93a7059d837a49f5a | 2026-01-13T00:00:00-05:00 | R-Estimation with Right-Censored Data | arXiv:2601.06685v1 Announce Type: new Abstract: This paper considers the problem of directly generalizing the R-estimator under a linear model formulation with right-censored outcomes. We propose a natural generalization of the rank and corresponding estimating equation for the R-estimator in the case of the Wilcoxon (... | https://arxiv.org/abs/2601.06685 | Academic Papers | svg |
a6f7b24c01ad89128a1b8bad423442a197bc403eeeb25068ca499e5a56bf7776 | 2026-01-13T00:00:00-05:00 | Nonparametric contaminated Gaussian mixture of regressions | arXiv:2601.06695v1 Announce Type: new Abstract: Semi- and non-parametric mixture of regressions are a very useful flexible class of mixture of regressions in which some or all of the parameters are non-parametric functions of the covariates. These models are, however, based on the Gaussian assumption of the component e... | https://arxiv.org/abs/2601.06695 | Academic Papers | svg |
b7c0377f81f72ff023ac08cffe9c405b91a963ca83bc478fa2a71e3eec354bff | 2026-01-13T00:00:00-05:00 | Adversarially Perturbed Precision Matrix Estimation | arXiv:2601.06807v1 Announce Type: new Abstract: Precision matrix estimation is a fundamental topic in multivariate statistics and modern machine learning. This paper proposes an adversarially perturbed precision matrix estimation framework, motivated by recent developments in adversarial training. The proposed framewor... | https://arxiv.org/abs/2601.06807 | Academic Papers | svg |
10f070a56ff053d13261a9f93f2d235253a7962cf7f38ae1e306dbc1eebc212e | 2026-01-13T00:00:00-05:00 | Likelihood-Based Regression for Weibull Accelerated Life Testing Model Under Censored Data | arXiv:2601.06890v1 Announce Type: new Abstract: In this paper, we investigate accelerated life testing (ALT) models based on the Weibull distribution with stress-dependent shape and scale parameters. Temperature and voltage are treated as stress variables influencing the lifetime distribution. Data are assumed to be co... | https://arxiv.org/abs/2601.06890 | Academic Papers | svg |
114438407329a887811e63308e3d4859df88169383aa8df13e4d9db0b2dfb0a9 | 2026-01-13T00:00:00-05:00 | Minimum information Markov model | arXiv:2601.06900v1 Announce Type: new Abstract: The analysis of high-dimensional time series data has become increasingly important across a wide range of fields. Recently, a method for constructing the minimum information Markov kernel on finite state spaces was established. In this study, we propose a statistical mod... | https://arxiv.org/abs/2601.06900 | Academic Papers | svg |
22b05f47945dc288361a6dffd8fb2b8684f2d32b8c9ed8173809c1d370fe39e6 | 2026-01-13T00:00:00-05:00 | Localization Estimator for High Dimensional Tensor Covariance Matrices | arXiv:2601.06989v1 Announce Type: new Abstract: This paper considers covariance matrix estimation of tensor data under high dimensionality. A multi-bandable covariance class is established to accommodate the need for complex covariance structures of multi-layer lattices and general covariance decay patterns. We propose... | https://arxiv.org/abs/2601.06989 | Academic Papers | svg |
27bcc009c8a12a48ea40962f78bc6d6b7686a755448f6f62aa2973e14243ec32 | 2026-01-13T00:00:00-05:00 | Semiparametric Analysis of Interval-Censored Data Subject to Inaccurate Diagnoses with A Terminal Event | arXiv:2601.07044v1 Announce Type: new Abstract: Interval-censoring frequently occurs in studies of chronic diseases where disease status is inferred from intermittently collected biomarkers. Although many methods have been developed to analyze such data, they typically assume perfect disease diagnosis, which often does... | https://arxiv.org/abs/2601.07044 | Academic Papers | svg |
2cbd32261d8494fe8256e4983b79456a6d1798119318db95c098a31e58a6298b | 2026-01-13T00:00:00-05:00 | FormulaCompiler.jl and Margins.jl: Efficient Marginal Effects in Julia | arXiv:2601.07065v1 Announce Type: new Abstract: Marginal effects analysis is fundamental to interpreting statistical models, yet existing implementations face computational constraints that limit analysis at scale. We introduce two Julia packages that address this gap. Margins.jl provides a clean two-function API organ... | https://arxiv.org/abs/2601.07065 | Academic Papers | svg |
3bc414259bfb559b59e81b2ec8139e240687f71818b5e41774947e0065abdda2 | 2026-01-13T00:00:00-05:00 | The Bayesian Intransitive Bradley-Terry Model via Combinatorial Hodge Theory | arXiv:2601.07158v1 Announce Type: new Abstract: Pairwise comparison data are widely used to infer latent rankings in areas such as sports, social choice, and machine learning. The Bradley-Terry model provides a foundational probabilistic framework but inherently assumes transitive preferences, explaining all comparison... | https://arxiv.org/abs/2601.07158 | Academic Papers | svg |
d9e4005ddb97950c00c7b38fdc754469ac87fd45e288a35b13ac0460c7c8c170 | 2026-01-13T00:00:00-05:00 | Principal component-guided sparse reduced-rank regression | arXiv:2601.07202v1 Announce Type: new Abstract: Reduced-rank regression estimates regression coefficients by imposing a low-rank constraint on the matrix of regression coefficients, thereby accounting for correlations among response variables. To further improve predictive accuracy and model interpretability, several r... | https://arxiv.org/abs/2601.07202 | Academic Papers | svg |
41c7b39a8d0aa0ee79e8817bab373e7ad76f4cb68a60808186673d6488d0793e | 2026-01-13T00:00:00-05:00 | Compounded Linear Failure Rate Distribution: Properties, Simulation and Analysis | arXiv:2601.07249v1 Announce Type: new Abstract: This paper proposes a new extension of the linear failure rate (LFR) model to better capture real-world lifetime data. The model incorporates an additional shape parameter to increase flexibility. It helps model the minimum survival time from a set of LFR distributed vari... | https://arxiv.org/abs/2601.07249 | Academic Papers | svg |
8e7f00f4c86dc52835bc906c33de6fcd07174ad158a7e5124bae9de57a95c74d | 2026-01-13T00:00:00-05:00 | Connections as treatment: causal inference with edge interventions in networks | arXiv:2601.07267v1 Announce Type: new Abstract: Causal inference has traditionally focused on interventions at the unit level. In many applications, however, the central question concerns the causal effects of connections between units, such as transportation links, social relationships, or collaborative ties. We devel... | https://arxiv.org/abs/2601.07267 | Academic Papers | svg |
b8ee56d4eb328c10a2dc97045b8485ac90981ec7533c6f9c5352c08eeb3fdb52 | 2026-01-13T00:00:00-05:00 | Minimum Wasserstein distance estimator under covariate shift: closed-form, super-efficiency and irregularity | arXiv:2601.07282v1 Announce Type: new Abstract: Covariate shift arises when covariate distributions differ between source and target populations while the conditional distribution of the response remains invariant, and it underlies problems in missing data and causal inference. We propose a minimum Wasserstein distance... | https://arxiv.org/abs/2601.07282 | Academic Papers | svg |
cadd67651edafb9b7cd1f00ad9f0066112a3c97875f48305e7bd66f3d7b72baf | 2026-01-13T00:00:00-05:00 | Cauchy-Gaussian Overbound for Heavy-tailed GNSS Measurement Errors | arXiv:2601.07299v1 Announce Type: new Abstract: Overbounds of heavy-tailed measurement errors are essential to meet stringent navigation requirements in integrity monitoring applications. This paper proposes to leverage the bounding sharpness of the Cauchy distribution in the core and the Gaussian distribution in the t... | https://arxiv.org/abs/2601.07299 | Academic Papers | svg |
f91f85a5b78f19bfcba65608d02bb90cae6a74cee64a90ba9fe4bf3c07186924 | 2026-01-13T00:00:00-05:00 | Inference for Multiple Change-points in Piecewise Locally Stationary Time Series | arXiv:2601.07400v1 Announce Type: new Abstract: Change-point detection and locally stationary time series modeling are two major approaches for the analysis of non-stationary data. The former aims to identify stationary phases by detecting abrupt changes in the dynamics of a time series model, while the latter employs ... | https://arxiv.org/abs/2601.07400 | Academic Papers | svg |
c95743a0f27a797823c720b3aad87c34d752abfe8e3d3e65c0a362a0f1518c6f | 2026-01-13T00:00:00-05:00 | Penalized Likelihood Optimization for Adaptive Neighborhood Clustering in Time-to-Event Data with Group-Level Heterogeneity | arXiv:2601.07446v1 Announce Type: new Abstract: The identification of patient subgroups with comparable event-risk dynamics plays a key role in supporting informed decision-making in clinical research. In such settings, it is important to account for the inherent dependence that arises when individuals are nested withi... | https://arxiv.org/abs/2601.07446 | Academic Papers | svg |
1ec248051438164093ad1d83253890f7c7476b1df8fb38a51a1a50fb826d31c9 | 2026-01-13T00:00:00-05:00 | Ridge-penalised spectral least-squares estimation for point processes | arXiv:2601.07490v1 Announce Type: new Abstract: Penalised estimation methods for point processes usually rely on a large amount of independent repetitions for cross-validation purposes. However, in the case of a single realisation of the process, existing cross-validation methods may be impractical depending on the cho... | https://arxiv.org/abs/2601.07490 | Academic Papers | svg |
10db849439c83d611fea7e505e1cc6508ce84b28116fbdab475a40f3b45b4131 | 2026-01-13T00:00:00-05:00 | Population-Adjusted Indirect Treatment Comparison with the outstandR Package in R | arXiv:2601.07532v1 Announce Type: new Abstract: Indirect treatment comparisons (ITCs) are essential in Health Technology Assessment (HTA) when head-to-head clinical trials are absent. A common challenge arises when attempting to compare a treatment with available individual patient data (IPD) against a competitor with ... | https://arxiv.org/abs/2601.07532 | Academic Papers | svg |
0366b513250ff8903b1ab12c2acea376ecde9cd107111edc9dcdf82868224827 | 2026-01-13T00:00:00-05:00 | Bayesian Handwriting Evidence Evaluation using MANOVA via Fourier-Based Extracted Features | arXiv:2601.07534v1 Announce Type: new Abstract: This paper proposes a novel statistical approach that aims at the identification of valid and useful patterns in handwriting examination via Bayesian modeling. Starting from a sample of characters selected among 13 French native writers, an accurate loop reconstruction ca... | https://arxiv.org/abs/2601.07534 | Academic Papers | svg |
138e8ad011966ad83c2d4b1423d48ad011b0aea7fd8466c345c3aad9164d3199 | 2026-01-13T00:00:00-05:00 | Functional Synthetic Control Methods for Metric Space-Valued Outcomes | arXiv:2601.07539v1 Announce Type: new Abstract: The synthetic control method (SCM) is a widely used tool for evaluating causal effects of policy changes in panel data settings. Recent studies have extended its framework to accommodate complex outcomes that take values in metric spaces, such as distributions, functions,... | https://arxiv.org/abs/2601.07539 | Academic Papers | svg |
137e3f3b34b3a49fb1f390493d6a935ea223b41fa869e68b35f6fae9c4271211 | 2026-01-13T00:00:00-05:00 | An evaluation of empirical equations for assessing local scour around bridge piers using global sensitivity analysis | arXiv:2601.07594v1 Announce Type: new Abstract: Bridge scour is a complex phenomenon combining hydrological, geotechnical and structural processes. Bridge scour is the leading cause of bridge collapse, which can bring catastrophic consequences including the loss of life. Estimating scour on bridges is an important task... | https://arxiv.org/abs/2601.07594 | Academic Papers | svg |
4feb8f04f594e78b64f87c90a38179f6c2003a1e4dcf7016d2735e00b658a851 | 2026-01-13T00:00:00-05:00 | Omitted covariates bias and finite mixtures of regression models for longitudinal responses | arXiv:2601.07609v1 Announce Type: new Abstract: Individual-specific, time-constant, random effects are often used to model dependence and/or to account for omitted covariates in regression models for longitudinal responses. Longitudinal studies have known a huge and widespread use in the last few years as they allow to... | https://arxiv.org/abs/2601.07609 | Academic Papers | svg |
798540811e2aacd1206848c88ec36991b27dacb0e0b87afd01e8622831b2883e | 2026-01-13T00:00:00-05:00 | Dual-Level Models for Physics-Informed Multi-Step Time Series Forecasting | arXiv:2601.07640v1 Announce Type: new Abstract: This paper develops an approach for multi-step forecasting of dynamical systems by integrating probabilistic input forecasting with physics-informed output prediction. Accurate multi-step forecasting of time series systems is important for the automatic control and optimi... | https://arxiv.org/abs/2601.07640 | Academic Papers | svg |
55c79ababdd3d91e63d1c9ab3fed96e9a6a00a4d7cfa4e1c8309ddaf50153b20 | 2026-01-13T00:00:00-05:00 | The Role of Confounders and Linearity in Ecological Inference: A Reassessment | arXiv:2601.07668v1 Announce Type: new Abstract: Estimating conditional means using only the marginal means available from aggregate data is commonly known as the ecological inference problem (EI). We provide a reassessment of EI, including a new formalization of identification conditions and a demonstration of how thes... | https://arxiv.org/abs/2601.07668 | Academic Papers | svg |
ac25d9917d80099a9793d029bc1964e41784ce0dbd1cb473cc0df68da4b78630 | 2026-01-13T00:00:00-05:00 | Cluster-based name embeddings reduce ethnic disparities in record linkage quality under realistic name corruption: evidence from the North Carolina Voter Registry | arXiv:2601.07693v1 Announce Type: new Abstract: Differential ethnic-based record linkage errors can bias epidemiologic estimates. Prior evidence often conflates heterogeneity in error mechanisms with unequal exposure to error. Using snapshots of the North Carolina Voter Registry (Oct 2011-Oct 2022), we derived empirica... | https://arxiv.org/abs/2601.07693 | Academic Papers | svg |
287728d7d7b6598f3abd12f7ca2bee5630769979ad0f720bb9e8c007ba54c194 | 2026-01-13T00:00:00-05:00 | Reinforcement Learning for Micro-Level Claims Reserving | arXiv:2601.07637v1 Announce Type: cross Abstract: Outstanding claim liabilities are revised repeatedly as claims develop, yet most modern reserving models are trained as one-shot predictors and typically learn only from settled claims. We formulate individual claims reserving as a claim-level Markov decision process in... | https://arxiv.org/abs/2601.07637 | Academic Papers | svg |
6160995bfc566234925f78ceceba9b5a9f966e3c2d241ef6a565a531b11df0cc | 2026-01-13T00:00:00-05:00 | Physics-Informed Singular-Value Learning for Cross-Covariances Forecasting in Financial Markets | arXiv:2601.07687v1 Announce Type: cross Abstract: A new wave of work on covariance cleaning and nonlinear shrinkage has delivered asymptotically optimal analytical solutions for large covariance matrices. Building on this progress, these ideas have been generalized to empirical cross-covariance matrices, whose singular... | https://arxiv.org/abs/2601.07687 | Academic Papers | svg |
de76722fe0b76fc14c4280a67c02f004d73ce9c41797f44b88c54a47900958fc | 2026-01-13T00:00:00-05:00 | Non-Convex Portfolio Optimization via Energy-Based Models: A Comparative Analysis Using the Thermodynamic HypergRaphical Model Library (THRML) for Index Tracking | arXiv:2601.07792v1 Announce Type: cross Abstract: Portfolio optimization under cardinality constraints transforms the classical Markowitz mean-variance problem from a convex quadratic problem into an NP-hard combinatorial optimization problem. This paper introduces a novel approach using THRML (Thermodynamic HypergRaph... | https://arxiv.org/abs/2601.07792 | Academic Papers | svg |
705bb0a28be78e55f3abafd31d7a118db14371b66d352ce2d406c74bfe723da2 | 2026-01-13T00:00:00-05:00 | Accumulation of Sub-Sampling Matrices with Applications to Statistical Computation | arXiv:2103.04031v2 Announce Type: replace Abstract: With appropriately chosen sampling probabilities, sampling-based random projection can be used to implement large-scale statistical methods, substantially reducing computational cost while maintaining low statistical error. However, computing optimal sampling probabil... | https://arxiv.org/abs/2103.04031 | Academic Papers | svg |
20f8d2cb6e09378a6bdf5a47474f5d8a41764f73c1faa690a30f73bb4dd0de77 | 2026-01-13T00:00:00-05:00 | Relaxed Gaussian process interpolation: a goal-oriented approach to Bayesian optimization | arXiv:2206.03034v4 Announce Type: replace Abstract: This work presents a new procedure for obtaining predictive distributions in the context of Gaussian process (GP) modeling, with a relaxation of the interpolation constraints outside ranges of interest: the mean of the predictive distributions no longer necessarily in... | https://arxiv.org/abs/2206.03034 | Academic Papers | svg |
87ca7cad113528cb5d1631b504f27acfa11d21ffa6d27c354cfa8b03840c1b5b | 2026-01-13T00:00:00-05:00 | Experiment-selector cross-validated targeted maximum likelihood estimator for hybrid RCT-external data studies | arXiv:2210.05802v4 Announce Type: replace Abstract: Augmenting a randomized controlled trial (RCT) with external data may increase power at the risk of introducing bias. To select and analyze the experiment (RCT alone or combined with external data) with the optimal bias-variance tradeoff, we develop a novel experiment... | https://arxiv.org/abs/2210.05802 | Academic Papers | svg |
8d48b7aea56b13826744ec300ebdc9b2b17c5bfb3b8a692c3671631aa33f4cba | 2026-01-13T00:00:00-05:00 | The Interpolating Information Criterion for Overparameterized Models | arXiv:2307.07785v2 Announce Type: replace Abstract: The problem of model selection is considered for the setting of interpolating estimators, where the number of model parameters exceeds the size of the dataset. Classical information criteria typically consider the large-data limit, penalizing model size. However, thes... | https://arxiv.org/abs/2307.07785 | Academic Papers | svg |
70ff429a3355298d7703387871dccf269ce6683b3be71e0e923dce590f1df5eb | 2026-01-13T00:00:00-05:00 | A Convex Framework for Confounding Robust Inference | arXiv:2309.12450v3 Announce Type: replace Abstract: We study policy evaluation of offline contextual bandits subject to unobserved confounders. Sensitivity analysis methods are commonly used to estimate the policy value under the worst-case confounding over a given uncertainty set. However, existing work often resorts ... | https://arxiv.org/abs/2309.12450 | Academic Papers | svg |
2202caf973b6b46f00403e3ec8ee957ccc238f0303e633b2ad160410733eb72d | 2026-01-13T00:00:00-05:00 | Expectile Periodograms | arXiv:2403.02060v4 Announce Type: replace Abstract: This paper introduces a novel periodogram-like function, called the expectile periodogram, for modeling spectral features of time series and detecting hidden periodicities. The expectile periodogram is constructed from trigonometric expectile regression, in which a sp... | https://arxiv.org/abs/2403.02060 | Academic Papers | svg |
64f7675ee779a82c25e75a4d80d24e61de6e5f89a7f940e37df8137efbdb2315 | 2026-01-13T00:00:00-05:00 | Data-Driven Strategies for Detecting and Sampling Misrepresented Subgroups | arXiv:2405.01342v2 Announce Type: replace Abstract: Economic policy research frequently examines population well-being, with a particular focus on the relationships between unequal living conditions, low educational attainment, and social exclusion. Sample surveys, such as EU-SILC, are widely used for this purpose and ... | https://arxiv.org/abs/2405.01342 | Academic Papers | svg |
3abc34c92634777517ae6d1deb2ed7e5c4fd9b412920f06026140c6534260b24 | 2026-01-13T00:00:00-05:00 | Iterative Methods for Full-Scale Gaussian Process Approximations for Large Spatial Data | arXiv:2405.14492v5 Announce Type: replace Abstract: Gaussian processes are flexible probabilistic regression models which are widely used in statistics and machine learning. However, a drawback is their limited scalability to large data sets. To alleviate this, full-scale approximations (FSAs) combine predictive proces... | https://arxiv.org/abs/2405.14492 | Academic Papers | svg |
709f2018ee74475c50fff0a24453296eb762f7910bfee8eef8f881c21d9059e2 | 2026-01-13T00:00:00-05:00 | Berezinskii--Kosterlitz--Thouless transition in a context-sensitive random language model | arXiv:2412.01212v2 Announce Type: replace Abstract: Several power-law critical properties involving different statistics in natural languages -- reminiscent of scaling properties of physical systems at or near phase transitions -- have been documented for decades. The recent rise of large language models has added furt... | https://arxiv.org/abs/2412.01212 | Academic Papers | svg |
f380525f586684ac188c3653a17bc4feb85f3bf8c8697449324c654c07da660b | 2026-01-13T00:00:00-05:00 | Asymptotics of Non-Convex Generalized Linear Models in High-Dimensions: A proof of the replica formula | arXiv:2502.20003v2 Announce Type: replace Abstract: The analytic characterization of the high-dimensional behavior of optimization for Generalized Linear Models (GLMs) with Gaussian data has been a central focus in statistics and probability in recent years. While convex cases, such as the LASSO, ridge regression, and ... | https://arxiv.org/abs/2502.20003 | Academic Papers | svg |
e339a8ed154bd0ee0011505adbe90a74810aca45dec74be8f97da3e8e52bb30e | 2026-01-13T00:00:00-05:00 | A Spatiotemporal, Quasi-experimental Causal Inference Approach to Characterize the Effects of Global Plastic Waste Export and Burning on Air Quality Using Remotely Sensed Data | arXiv:2503.04491v3 Announce Type: replace Abstract: Open burning of plastic waste may pose a significant threat to global health by degrading air quality, but quantitative research on this problem -- crucial for policy making -- has been stunted by lack of data. Many low- and middle-income countries, where open burning... | https://arxiv.org/abs/2503.04491 | Academic Papers | svg |
7d3a01bb42183e51f26225be1178d449a74600b0be85ce67f4e2f5f7d6b1945f | 2026-01-13T00:00:00-05:00 | Simulation of Multivariate Extremes: a Wasserstein-Aitchison GAN approach | arXiv:2504.21438v3 Announce Type: replace Abstract: Economically responsible mitigation of multivariate extreme risks-such as extreme rainfall over large areas, large simultaneous variations in many stock prices, or widespread breakdowns in transportation systems-requires assessing the resilience of the systems under p... | https://arxiv.org/abs/2504.21438 | Academic Papers | svg |
5a6190dcd3a6ba15947aaeaab095ebb32179ae46518f72820a6308a68e5c0be2 | 2026-01-13T00:00:00-05:00 | Convergence Rates of Constrained Expected Improvement | arXiv:2505.11323v2 Announce Type: replace Abstract: Constrained Bayesian optimization (CBO) methods have seen significant success in black-box optimization with constraints. One of the most commonly used CBO methods is the constrained expected improvement (CEI) algorithm. CEI is a natural extension of expected improvem... | https://arxiv.org/abs/2505.11323 | Academic Papers | svg |
782540336aed474bef10e9c0e52d639c3efa8ab77dbc688d602aeb45866bdc12 | 2026-01-13T00:00:00-05:00 | Model-X Change-Point Detection of Conditional Distribution | arXiv:2505.12023v3 Announce Type: replace Abstract: The dynamic nature of many real-world systems can lead to temporal outcome model shifts, causing a deterioration in model accuracy and reliability over time. This requires change-point detection on the outcome models to guide model retraining and adjustments. However,... | https://arxiv.org/abs/2505.12023 | Academic Papers | svg |
e4e120fd7710f43b2b9c8a0503169ce7c2bd0187a3ab43a774a625f3e9ec7b0c | 2026-01-13T00:00:00-05:00 | Testing for sufficient follow-up in cure models with categorical covariates | arXiv:2505.13128v2 Announce Type: replace Abstract: In survival analysis, estimating the fraction of 'immune' or 'cured' subjects who will never experience the event of interest, requires a sufficiently long follow-up period. A few statistical tests have been proposed to test the assumption of sufficient follow-up, i.e... | https://arxiv.org/abs/2505.13128 | Academic Papers | svg |
cd99aab4d2ab71f4e0197537a0314b5072d2e8519651612d759eceae35994800 | 2026-01-13T00:00:00-05:00 | Data-Adaptive Automatic Threshold Calibration for Stability Selection | arXiv:2505.22012v2 Announce Type: replace Abstract: Stability selection has gained popularity as a method for enhancing the performance of variable selection algorithms while controlling false discovery rates. However, achieving these desirable properties depends on correctly specifying the stable threshold parameter, ... | https://arxiv.org/abs/2505.22012 | Academic Papers | svg |
a620a2b632d25361480ff3c0234ff967f14596b7b090a65503ccbad48ec92c82 | 2026-01-13T00:00:00-05:00 | PCA-Guided Quantile Sampling: Preserving Data Structure in Large-Scale Subsampling | arXiv:2506.18249v2 Announce Type: replace Abstract: We introduce Principal Component Analysis guided Quantile Sampling (PCA QS), a novel sampling framework designed to preserve both the statistical and geometric structure of large scale datasets. Unlike conventional PCA, which reduces dimensionality at the cost of inte... | https://arxiv.org/abs/2506.18249 | Academic Papers | svg |
761555f337378d67769f62749b3f799b89b7547a46b91e50284291cd51c65aca | 2026-01-13T00:00:00-05:00 | Stable Minima of ReLU Neural Networks Suffer from the Curse of Dimensionality: The Neural Shattering Phenomenon | arXiv:2506.20779v4 Announce Type: replace Abstract: We study the implicit bias of flatness / low (loss) curvature and its effects on generalization in two-layer overparameterized ReLU networks with multivariate inputs -- a problem well motivated by the minima stability and edge-of-stability phenomena in gradient-descen... | https://arxiv.org/abs/2506.20779 | Academic Papers | svg |
378f84a7799b0d60ad0e4ac22e1a6020b0dba2c95fb7b167e1de0a9557ba22f1 | 2026-01-13T00:00:00-05:00 | When Less Is More: Binary Feedback Can Outperform Ordinal Comparisons in Ranking Recovery | arXiv:2507.01613v4 Announce Type: replace Abstract: Paired comparison data, where users evaluate items in pairs, play a central role in ranking and preference learning tasks. While ordinal comparison data intuitively offer richer information than binary comparisons, this paper challenges that conventional wisdom. We pr... | https://arxiv.org/abs/2507.01613 | Academic Papers | svg |
32d79a3a9f80c9aadace154024ce0709e47afe3c21456e73ab2ac216cc8bb8f1 | 2026-01-13T00:00:00-05:00 | Bootstrapped Control Limits for Score-Based Concept Drift Control Charts | arXiv:2507.16749v2 Announce Type: replace Abstract: Monitoring for changes in a predictive relationship represented by a fitted supervised learning model (i.e., concept drift detection) is a widespread problem in modern data-driven applications. A general and powerful Fisher score-based concept drift approach was recen... | https://arxiv.org/abs/2507.16749 | Academic Papers | svg |
59a0bed9581195feaec82badd92bcbe19c97fa49a22fc08d470c6851d6793191 | 2026-01-13T00:00:00-05:00 | Bag of Coins: A Statistical Probe into Neural Confidence Structures | arXiv:2507.19774v2 Announce Type: replace Abstract: Modern neural networks often produce miscalibrated confidence scores and struggle to detect out-of-distribution (OOD) inputs, while most existing methods post-process outputs without testing internal consistency. We introduce the Bag-of-Coins (BoC) probe, a non-parame... | https://arxiv.org/abs/2507.19774 | Academic Papers | svg |
da7a8fa61fafc53953473bf7e14c5887e4c5782b7496e0c5b598ab9ec4d1b9df | 2026-01-13T00:00:00-05:00 | From Sublinear to Linear: Fast Convergence in Deep Networks via Locally Polyak-Lojasiewicz Regions | arXiv:2507.21429v2 Announce Type: replace Abstract: Gradient descent (GD) on deep neural network loss landscapes is non-convex, yet often converges far faster in practice than classical guarantees suggest. Prior work shows that within locally quasi-convex regions (LQCRs), GD converges to stationary points at sublinear ... | https://arxiv.org/abs/2507.21429 | Academic Papers | svg |
47d20798b6b52f167c0c4eb47e20320f00c4bb23be439e9d79e129411edebb5d | 2026-01-13T00:00:00-05:00 | Bayesian inference of antibody evolutionary dynamics using multitype branching processes | arXiv:2508.09519v2 Announce Type: replace Abstract: When our immune system encounters foreign antigens (i.e., from pathogens), the B cells that produce our antibodies undergo a cyclic process of proliferation, mutation, and selection, improving their ability to bind to the specific antigen. Immunologists have recently ... | https://arxiv.org/abs/2508.09519 | Academic Papers | svg |
68718d0e11429812d43675abcfebb914b5a98f6ebbe4f5b86a9e724d203213e1 | 2026-01-13T00:00:00-05:00 | Precision Dose-Finding Design for Phase I Oncology Trials by Integrating Pharmacology Data | arXiv:2509.05120v2 Announce Type: replace Abstract: Phase I oncology trials aim to identify a safe dose - often the maximum tolerated dose (MTD) - for subsequent studies. Conventional designs focus on population-level toxicity modeling, with recent attention on leveraging pharmacokinetic (PK) data to improve dose selec... | https://arxiv.org/abs/2509.05120 | Academic Papers | svg |
40b4feaa614d707800382efa6f68ad31dd96b9530a8595bb7efb968eb484e27e | 2026-01-13T00:00:00-05:00 | Copula-Stein Discrepancy: A Generator-Based Stein Operator for Archimedean Dependence | arXiv:2510.24056v2 Announce Type: replace Abstract: Kernel Stein discrepancies (KSDs) are widely used for goodness-of-fit testing, but standard KSDs can be insensitive to higher-order dependence features such as tail dependence. We introduce the Copula-Stein Discrepancy (CSD), which defines a Stein operator directly on... | https://arxiv.org/abs/2510.24056 | Academic Papers | svg |
c30902bd9f0af1cb3e941905496e90dd4343e931b905a2ea58fd8e57804b8456 | 2026-01-13T00:00:00-05:00 | Discretization approximation: An alternative to Monte Carlo in Bayesian computation | arXiv:2512.11475v2 Announce Type: replace Abstract: In this paper we propose a new deterministic approximation method, called discretization approximation, for Bayesian computation. Discretization approximation is very simple to understand and to implement, It only requires calculating posterior density values as proba... | https://arxiv.org/abs/2512.11475 | Academic Papers | svg |
4c4c62f7a785e57e67286468d04d148cd39435060f06e4586a9b729fd0bb0782 | 2026-01-13T00:00:00-05:00 | A Concentration Bound for TD(0) with Function Approximation | arXiv:2312.10424v4 Announce Type: replace-cross Abstract: We derive uniform all-time concentration bound of the type 'for all $n \geq n_0$ for some $n_0$' for TD(0) with linear function approximation. We work with online TD learning with samples from a single sample path of the underlying Markov chain. This makes our a... | https://arxiv.org/abs/2312.10424 | Academic Papers | svg |
e28faff5eb4189b2b19f63ff56e8ac2c4da202c7886b684a40396f583feecb43 | 2026-01-13T00:00:00-05:00 | Reimagining Anomalies: What If Anomalies Were Normal? | arXiv:2402.14469v2 Announce Type: replace-cross Abstract: Deep learning-based methods have achieved a breakthrough in image anomaly detection, but their complexity introduces a considerable challenge to understanding why an instance is predicted to be anomalous. We introduce a novel explanation method that generates mu... | https://arxiv.org/abs/2402.14469 | Academic Papers | svg |
2fac5c4edcb0442a4c39ac58322daf8667a482fe11f90f5a14bd3d81e96070ad | 2026-01-13T00:00:00-05:00 | Data-Driven Knowledge Transfer in Batch $Q^*$ Learning | arXiv:2404.15209v3 Announce Type: replace-cross Abstract: In data-driven decision-making in marketing, healthcare, and education, it is desirable to utilize a large amount of data from existing ventures to navigate high-dimensional feature spaces and address data scarcity in new ventures. We explore knowledge transfer ... | https://arxiv.org/abs/2404.15209 | Academic Papers | svg |
198cd83090655e6118838e24e1ef7b5b9d6b9d0491655da1e9458b55db8f5052 | 2026-01-13T00:00:00-05:00 | Low-Rank Online Dynamic Assortment with Dual Contextual Information | arXiv:2404.17592v2 Announce Type: replace-cross Abstract: As e-commerce expands, delivering real-time personalized recommendations from vast catalogs poses a critical challenge for retail platforms. Maximizing revenue requires careful consideration of both individual customer characteristics and available item features... | https://arxiv.org/abs/2404.17592 | Academic Papers | svg |
8f85745557598a07814e3403f4d8a6dbfb7cd216f1b046ddd7364af1bbc90f4c | 2026-01-13T00:00:00-05:00 | Model Privacy: A Unified Framework to Understand Model Stealing Attacks and Defenses | arXiv:2502.15567v2 Announce Type: replace-cross Abstract: The use of machine learning (ML) has become increasingly prevalent in various domains, highlighting the importance of understanding and ensuring its safety. One pressing concern is the vulnerability of ML applications to model stealing attacks. These attacks inv... | https://arxiv.org/abs/2502.15567 | Academic Papers | svg |
f34c229beaa378af20132d181959e35731df1bb16ac61184ceeaa32f7153b85a | 2026-01-13T00:00:00-05:00 | The Power of Iterative Filtering for Supervised Learning with (Heavy) Contamination | arXiv:2505.20177v2 Announce Type: replace-cross Abstract: Inspired by recent work on learning with distribution shift, we give a general outlier removal algorithm called iterative polynomial filtering and show a number of striking applications for supervised learning with contamination: (1) We show that any function cl... | https://arxiv.org/abs/2505.20177 | Academic Papers | svg |
492db51240ec75c238ec129fc5d08881f2f983b6c45dd0e6799b06c191131544 | 2026-01-13T00:00:00-05:00 | ORACLE: Explaining Feature Interactions in Neural Networks with ANOVA | arXiv:2509.10825v4 Announce Type: replace-cross Abstract: We introduce ORACLE, a framework for explaining neural networks on tabular data and scientific factorial designs. ORACLE summarizes a trained network's prediction surface with main effects and pairwise interactions by treating the network as a black-box response... | https://arxiv.org/abs/2509.10825 | Academic Papers | svg |
4c62708432c8216ef314e9650c465010f4976d881efcd61e4c850dbbe81812b3 | 2026-01-13T00:00:00-05:00 | Wide Neural Networks as a Baseline for the Computational No-Coincidence Conjecture | arXiv:2510.06527v2 Announce Type: replace-cross Abstract: We establish that randomly initialized neural networks, with large width and a natural choice of hyperparameters, have nearly independent outputs exactly when their activation function is nonlinear with zero mean under the Gaussian measure: $\mathbb{E}_{z \sim \... | https://arxiv.org/abs/2510.06527 | Academic Papers | svg |
e4059efb0e57de3c553439c6863e631ec3479f26c5e080773ba8f98ea2213f3e | 2026-01-13T00:00:00-05:00 | SAVeD: Semantic Aware Version Discovery | arXiv:2511.17298v2 Announce Type: replace-cross Abstract: Our work introduces SAVeD (Semantically Aware Version Detection), a contrastive learning-based framework for identifying versions of structured datasets without relying on metadata, labels, or integration-based assumptions. SAVeD addresses a common challenge in ... | https://arxiv.org/abs/2511.17298 | Academic Papers | svg |
d04da4cd46056f8eb778cc16e5c7b31069c45e0b73c8592387a540cfa6ee6c3d | 2026-01-13T00:00:00-05:00 | A Regime-Aware Fusion Framework for Time Series Classification | arXiv:2512.15378v2 Announce Type: replace-cross Abstract: Kernel-based methods such as Rocket are among the most effective default approaches for univariate time series classification (TSC), yet they do not perform equally well across all datasets. We revisit the long-standing intuition that different representations c... | https://arxiv.org/abs/2512.15378 | Academic Papers | svg |
e6cda8b017cc05c2a5d19acf52807d6d66ac2a3ac9684b90c59cc84cfe0839e7 | 2026-01-13T00:00:00-05:00 | The Qutrit Bloch Sphere | arXiv:2601.06240v1 Announce Type: new Abstract: It is very important to understand if a qutrit can be visualized in a 3-dimensional Bloch sphere. In this work, a mathematical model for performing this operation is presented. | https://arxiv.org/abs/2601.06240 | Academic Papers | svg |
043bf92814358e332f751ee08044f7c9d3f41de6406d5dcfaf431b6e4d11d1c5 | 2026-01-13T00:00:00-05:00 | Universal Predictors for Mixing Time more than Liouvillian Gap | arXiv:2601.06256v1 Announce Type: new Abstract: We analyze the mixing time of open quantum systems governed by the Lindblad master equation, showing it is not only determined by the Liouvillian gap, but also the trace norm of the lowest excited state of Liouvillian superoperator. By utilizing these universal predictors... | https://arxiv.org/abs/2601.06256 | Academic Papers | svg |
0ac04c8fc8dc54a0a481ca90f74f96c610a3f867e204927ca6b4eb450819cd29 | 2026-01-13T00:00:00-05:00 | Latent splitting as a causal probe | arXiv:2601.06265v1 Announce Type: new Abstract: Generalizations of Bell's framework to causal networks have yielded new foundational insights and applications, including the use of interventions to enhance the detection of nonclassicality in scenarios with communication. Such interventions, however, become uninformativ... | https://arxiv.org/abs/2601.06265 | Academic Papers | svg |
0f1e34f7f02a88ab3836a32dbc0475199508102d2fc4f3133aa0fca757eccb87 | 2026-01-13T00:00:00-05:00 | Quantum algorithm for dephasing of coupled systems: decoupling and IQP duality | arXiv:2601.06298v1 Announce Type: new Abstract: Noise and decoherence are ubiquitous in the dynamics of quantum systems coupled to an external environment. In the regime where environmental correlations decay rapidly, the evolution of a subsytem is well described by a Lindblad quantum master equation. In this work, we ... | https://arxiv.org/abs/2601.06298 | Academic Papers | svg |
18fafd03bf78750d3bd0c136dd38dc26325c197f374e7c314d511a8682cc732b | 2026-01-13T00:00:00-05:00 | The pros and cons of using deep reinforcement learning or genetic algorithms to design control schemes for quantum state transfer on qubit chains | arXiv:2601.06303v1 Announce Type: new Abstract: In recent years, control methods based on different optimization techniques have shed light on the possibilities of processing information in many quantum systems. When exploring the transmission of quantum states, faster transmission times are mandatory to avoid the dele... | https://arxiv.org/abs/2601.06303 | Academic Papers | svg |
b16a11ad3a404ac8d652cb5d179843c2667b630716d6c01d09efd813fb289399 | 2026-01-13T00:00:00-05:00 | Informationally Complete Distributed Metrology Without a Shared Reference Frame | arXiv:2601.06393v1 Announce Type: new Abstract: In quantum information processing, implementing arbitrary preparations and measurements on qubits necessitates precise information to identify a specific reference frame (RF). In space quantum communication and sensing, where a shared RF is absent, the interplay between l... | https://arxiv.org/abs/2601.06393 | Academic Papers | svg |
51450995a89d12a1b55a79f90ced57553c6b8d8fdeab10c258b3b7cb3519165e | 2026-01-13T00:00:00-05:00 | Restoring Locality: The Heisenberg Picture as a Separable Description of Quantum Theory | arXiv:2601.06522v1 Announce Type: new Abstract: Local realism has been the subject of much discussion in modern physics, partly because our deepest theories of physics appear to contradict one another in regard to whether reality is local. According to general relativity, it is, as physical quantities (perceptible or n... | https://arxiv.org/abs/2601.06522 | Academic Papers | svg |
e2bd41a43ead5bb64f98d583307d3763539e21c4eebacab03ea240e0155a528f | 2026-01-13T00:00:00-05:00 | Digital Predistortion of Power Amplifiers for Quantum Computing | arXiv:2601.06524v1 Announce Type: new Abstract: Power amplifiers (PA) are essential for microwavecontrolled trapped-ion and semiconductor spin based quantum computers (QC). They adjust the power level of the control signal and therefore the processing time of the QC. Their nonlinearities and memory effects degrade the ... | https://arxiv.org/abs/2601.06524 | Academic Papers | svg |
d7e49d18f3ee4bbb975edd8140c25ab207236a65087ef44402a80f3c24e1c72a | 2026-01-13T00:00:00-05:00 | Magnetic levitation and spatial superposition of a nanodiamond with a current-carrying chip | arXiv:2601.06608v1 Announce Type: new Abstract: We propose a current-carrying-chip scheme for generating spatial quantum superpositions using a levitating nanodiamond with a built-in nitrogen-vacancy (NV) centre defect. Our setup is quite versatile and we aim to create the superposition for a mass range of $10^{-19}~{\... | https://arxiv.org/abs/2601.06608 | Academic Papers | svg |
d0c4e27549ef3c510e02ffc8625d8514ca655ef61e0323ff755faca80c1e9a9b | 2026-01-13T00:00:00-05:00 | Rydberg atom parity gate based on dark state resonances | arXiv:2601.06665v1 Announce Type: new Abstract: Quantum computation (QC) and digital quantum simulation (DQS) essentially require two- or multi-qubit controlled-NOT or -phase gates. We propose an alternative pathway for QC and DQS using a three-qubit parity gate in a Rydberg atom array. The basic principle of the Rydbe... | https://arxiv.org/abs/2601.06665 | Academic Papers | svg |
1de61122ac4e592a24ea007972f421fcafad11b38f3b2ebd41e8c61b48a6a5cc | 2026-01-13T00:00:00-05:00 | A paradigm for universal quantum information processing with integrated acousto-optic frequency beamsplitters | arXiv:2601.06752v1 Announce Type: new Abstract: Frequency-bin encoding offers tremendous potential in quantum photonic information processing, in which a single waveguide can support hundreds of lightpaths in a naturally phase-stable fashion. This stability, however, comes at a cost: arbitrary unitary operations can be... | https://arxiv.org/abs/2601.06752 | Academic Papers | svg |
b99df70bf023a471d4e4aaebb08fc933ddf13c8362abe5de6189b631b8a9ab97 | 2026-01-13T00:00:00-05:00 | Noise-Resistant Feature-Aware Attack Detection Using Quantum Machine Learning | arXiv:2601.06762v1 Announce Type: new Abstract: Continuous-variable quantum key distribution (CV-QKD) is a quantum communication technology that offers an unconditional security guarantee. However, the practical deployment of CV-QKD systems remains vulnerable to various quantum attacks. In this paper, we propose a quan... | https://arxiv.org/abs/2601.06762 | Academic Papers | svg |
70301e4793577467bc1fb2313f4ec6b6f56ba0104b5eac7fc284776a6846d380 | 2026-01-13T00:00:00-05:00 | Experimental Coherent One-Way Quantum Key Distribution with Simplicity and Practical Security | arXiv:2601.06772v1 Announce Type: new Abstract: Coherent one-way quantum key distribution (COW-QKD) has been widely investigated, and even been deployed in real-world quantum network. However, the proposal of the zero-error attack has critically undermined its security guarantees, and existing experimental implementati... | https://arxiv.org/abs/2601.06772 | Academic Papers | svg |
4e2d1c7f9b53ecda88cb907170cecdeff0f14ba63dfebeab352e06e8b50b244e | 2026-01-13T00:00:00-05:00 | Geometric and Operational Characterization of Two-Qutrit Entanglement | arXiv:2601.06783v1 Announce Type: new Abstract: We investigate the entanglement structure of bipartite two-qutrit pure states from both geometric and operational perspectives.Using the eigenvalues of the reduced density matrix, we analyze how symmetric polynomials characterize pairwise and genuinely three-level correla... | https://arxiv.org/abs/2601.06783 | Academic Papers | svg |
77029c64afec7fdd17a569d55e45b2a6462070b9f4da046becc9a75328ce3114 | 2026-01-13T00:00:00-05:00 | Cancelling second order frequency shifts in Ge hole spin qubits via bichromatic control | arXiv:2601.06805v1 Announce Type: new Abstract: Germanium quantum dot hole spin qubits are compatible with fully electrical control and are progressing toward multi-qubit operations. However, their coherence is limited by charge noise and driving field induced frequency shifts, and the resulting ensemble $1/f$ dephasin... | https://arxiv.org/abs/2601.06805 | Academic Papers | svg |
16ffa89b6f66688ae625314b5a811e81cb60886251cadcaa21e36347118d613f | 2026-01-13T00:00:00-05:00 | Axion Signal Search Using Hybrid Nuclear-Electronic Spin Systems | arXiv:2601.06816v1 Announce Type: new Abstract: Conventional nuclear magnetic resonance searches for the galactic axion wind lose sensitivity at low frequencies due to the unfavourable scaling of inductive readout. Here, we propose a hybrid architecture where the hyperfine interaction transduces axion-driven nuclear pr... | https://arxiv.org/abs/2601.06816 | Academic Papers | svg |
7845c13bfce3b81ffb60e9e057d98f9561eaacbd8a51d5cdfb9c84855c16c9e7 | 2026-01-13T00:00:00-05:00 | Quantum Circuit-Based Adaptation for Credit Risk Analysis | arXiv:2601.06865v1 Announce Type: new Abstract: Noisy and Intermediate-Scale Quantum, or NISQ, processors are sensitive to noise, prone to quantum decoherence, and are not yet capable of continuous quantum error correction for fault-tolerant quantum computation. Hence, quantum algorithms designed in the pre-fault-toler... | https://arxiv.org/abs/2601.06865 | Academic Papers | svg |
c4715353e08a23fc2e2f098f496c1b6b899e1bee18742c9d1f9f44605098853e | 2026-01-13T00:00:00-05:00 | High capacity dual degrees of freedom quantum secret sharing protocol beyond the linear rate-distance bound | arXiv:2601.06919v1 Announce Type: new Abstract: Quantum secret sharing (QSS) is the multipartite cryptographic primitive. Most of existing QSS protocols are limited by the linear rate-distance bound, and cannot realize the long-distance and high-capacity multipartite key distribution. This paper proposes a polarization... | https://arxiv.org/abs/2601.06919 | Academic Papers | svg |
74b951de757344bfb89b9e53813c389aae84dc1e8a002a1fbd71f6eb098a4a69 | 2026-01-13T00:00:00-05:00 | Extending the Handover-Iterative VQE to Challenging Strongly Correlated Systems: $N_2$ and Fe-S Cluster | arXiv:2601.06935v1 Announce Type: new Abstract: Accurately describing strongly correlated electronic systems remains a central challenge in quantum chemistry, as electron-electron interactions give rise to complex many-body wavefunctions that are difficult to capture with conventional approximations. Classical wavefunc... | https://arxiv.org/abs/2601.06935 | Academic Papers | svg |
1ddb57a69872eb03a727b325d8567333f77ecd8ed7e197bb3113efac9be8f252 | 2026-01-13T00:00:00-05:00 | Dynamical Correlation of the Post-quench Non-thermal Equilibrium State | arXiv:2601.06987v1 Announce Type: new Abstract: After a quantum quench, the integrable system is expected to relax to a non-thermal equilibrium state (NTES) whose local properties are believed to be governed by a generalized Gibbs ensemble (GGE). Combining quench action and the form factor approach, we compute the fiel... | https://arxiv.org/abs/2601.06987 | Academic Papers | svg |
dc360f31df7352def817e72a216e622e96636f3837716207c935ff7c26b58784 | 2026-01-13T00:00:00-05:00 | Counter-diabatic driving for fast spin control in a two-electron double quantum dot | arXiv:2601.06988v1 Announce Type: new Abstract: The techniques of shortcuts to adiabaticity have been proposed to accelerate the "slow" adiabatic processes in various quantum systems with the applications in quantum information processing. In this paper, we study the counter-diabatic driving for fast adiabatic spin man... | https://arxiv.org/abs/2601.06988 | Academic Papers | svg |
66497b0d9bf4148c941382f4ad3ae6f73ac16583e949b17485908abe99ba7963 | 2026-01-13T00:00:00-05:00 | Quantum state engineering of spin-orbit coupled ultracold atoms in a Morse potential | arXiv:2601.06996v1 Announce Type: new Abstract: Achieving full control of a Bose-Einstein condensate can have valuable applications in metrology, quantum information processing, and quantum condensed matter physics. We propose protocols to simultaneously control the internal (related to its pseudospin-1/2) and motional... | https://arxiv.org/abs/2601.06996 | Academic Papers | svg |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.