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Alex

snaykey

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Reproduction: Efficient Stochastic Optimisation via Sequential Monte Carlo

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Reproduction: Skewness-Robust Causal Discovery in Location-Scale Noise Models

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Reproduction: Adaptive Estimation and Inference in Semi-parametric Heterogeneous Clustered Multitask Learning via Neyman Orthogonality

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Reproduction: Planar Symmetric Pattern Generation

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Reproduction: Personalized Policy Learning through Discrete Experimentation (DLPT)

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Reproduction: Decomposition-Based Modular Conformal Prediction for Two-Stage Modeling

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MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems

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Mean-Shift PCA by Knockoff Mean

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Reproduction: Asymptotic Optimality of the High-Dimensional Gaussian Mechanism and Improved Low-Dimensional Mechanisms for Differential Privacy

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Reproduction: Gradient Flow Through Diagram Expansions: Learning Regimes and Explicit Solutions

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Reproduction: Universal Representation of Generalized Convex Functions and their Gradients

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Fair Decisions from Calibrated Scores

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Reproduction: All ERMs Can Fail in Stochastic Convex Optimization (Lower Bounds in Linear Dimension)

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Repro: Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs

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Reproduction: Context-free Recognition with Transformers

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Reproduction: Commit to the Bit — Reactive Reinforcement Learning Done Right

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Reproduction: Certificate-Guided Pruning for Stochastic Lipschitz Optimization

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Evaluating Bivariate Causal Statements Based on Mutual Compatibility

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Reproduction: Quantifying the Noise Sensitivity of the Wasserstein Metric for Images

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Reproduction: Nonlinear Autoencoders Learn Structure Invisible to PCA

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Reproduction: On Densest k-Subgraph Mining and Diagonal Loading (Optimization Landscape and Finite-Step Exact Convergence)

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Reproduction: Robust and Consistent Ski Rental with Distributional Advice

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Reproduction: Robust Linear Dueling Bandits (RCDP-UCB)

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Reproduction: Provable Benefits of RLVR over SFT for Reasoning Models

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