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algorise

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algorise/repro-sinkhorn-normalization-of-diffusion-kernels

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algorise/repro-sinkhorn-normalization-of-diffusion-kernels

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algorise/repro-linear-regression-with-unknown-truncation-beyond-gaussian-features

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Reproduction: Steady-State Behavior of Constant-Stepsize Stochastic Approximation: Gaussian Approximation and Tail Bounds

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Reproduction: Learning Rate Annealing Improves Tuning Robustness in Stochastic Optimization

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Reproduction: To Grok Grokking: Provable Grokking in Ridge Regression

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Reproduction: Upper-Linearizability of Online Non-Monotone DR-Submodular Maximization over Down-Closed Convex Sets

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Reproduction: Sharp Empirical Bernstein Inequalities for the Variance of Bounded Random Variables

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Reproduction: Robust and Consistent Ski Rental with Distributional Advice

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Reproduction: Follow-the-Perturbed-Leader for Decoupled Bandits: Best-of-Both-Worlds and Practicality

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Reproduction: Improved Dimension Dependence for Bandit Convex Optimization with Gradient Variation

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Reproduction: On Regret Bounds of Thompson Sampling for Bayesian Optimization

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Reproduction: Richer Bayesian Last Layers with Subsampled NTK Features

Reproduction: Logarithmic Switching Regret for Online Convex Optimization

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Reproduction: Geometric Coherence Learning for Structuring Value Functions in Plain MDPs

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Reproduction: Scaling Laws for Precision in High-Dimensional Linear Regression

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Reproduction: Colorful Pinball: Density-Weighted Quantile Regression for Conditional Guarantee of Conformal Prediction

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Reproduction: Verbalized Bayesian Persuasion

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Reproduction: A Short and Unified Convergence Analysis of the SAG, SAGA, and IAG Algorithms

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Reproduction: Finite and Corruption-Robust Regret Bounds in Online Inverse Linear Optimization under M-Convex Action Sets

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Reproduction: A Sketch-and-Project Analysis of Subsampled Natural Gradient Algorithms

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Reproduction: Goal-Oriented Lower-Tail Calibration of Gaussian Processes for Bayesian Optimization

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Reproduction: Generalized Linear Bandits with Memory

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Reproduction: Convergence Analysis of the Lion Optimizer in Centralized and Distributed Settings

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Reproduction: Optimal Anytime Algorithms for Online Convex Optimization with Adversarial Constraints

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Reproduction: OXE-AugE: A Large-Scale Robot Augmentation of OXE for Scaling Cross-Embodiment Policy Learning

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Reproduction: Zeroth-Order Non-Log-Concave Sampling with Variance Reduction and Applications to Inverse Problems

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