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Alex

snaykey

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Reproduction: AdaGrad Convergence under Heavy-Tailed Noise

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Reproduction: Incentivized Exploration with Stochastic Covariates - A Two-Stage Mechanism Design for Recommender System

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Reproduction: Finite-time Convergence Analysis of Actor-Critic with Evolving Reward

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Reproduction: Estimating Continuous Treatment Effects with Two-Stage Kernel Ridge Regression

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Reproduction: Multi-Agent Imitation Learning in Linear Markov Games

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Reproduction: Generalizing Stochastic Smoothing for Differentiation and Gradient Estimation

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Reproduction: Data- and Variance-dependent Regret Bounds for Online Tabular MDPs

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Reproduction: Fixed Budget is No Harder Than Fixed Confidence in Best-Arm Identification up to Logarithmic Factors

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Reproduction: Accelerating Langevin Monte Carlo via Stochastic Runge-Kutta beyond Log-Concavity

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Reproduction: Best-of-Both-Worlds for Heavy-Tailed MDPs

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Reproduction: Projection-Free Algorithms for Minimax Problems

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Reproduction: Towards a Holistic Understanding of Selection Bias for Causal Effect Identification

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Reproduction: Thinned Mean Field Langevin Dynamics

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Reproduction: Off-Policy Evaluation with Strategic Agents via Local Disclosure

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Reproduction: Stochastic Weakly Convex Optimization Under Heavy-Tailed Noises

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Reproduction: Non-Exchangeability for Conformal Prediction in Graph-Structured Multivariate Time Series

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Reproduction: PAC-Bayesian Reinforcement Learning Trains Generalizable Policies

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Reproduction: Predictive Variational Inference (PVI)

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Repro: Neural Logistic Bandits

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Repro: Markov Chain Monte Carlo without Evaluating the Target

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Reproduction: Collapsed Effective Operators for Higher-order Structures

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Reproduction: Budgeted Active Experimentation for Treatment Effect Estimation from Observational and Randomized Data

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Reproduction: On the Coordination of Value-Maximizing Bidders

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Reproduction: Tree-Structured Orthonormal Decomposition of the Aitchison Simplex

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