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Repro - On the Power of (Approximate) Reward Models for Inference-Time Scaling: Sequential Monte Carlo and Beyond

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Repro - Any-dimensional invariant universality

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Repro - Riemannian Dueling Optimization

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Repro - Understanding Behavior Cloning with Action Quantization

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Repro - adam-muon-implicit-bias

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Repro - performative-prediction-complexity

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Repro - autobidding-monotonicity

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Repro - The Interplay Between Interpolation and Aggregation in Regression: Optimal Sample Complexity

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Repro - Hierarchical Successor Representation for Robust Transfer

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Repro - Minimum Distance Summaries for Robust Neural Posterior Estimation

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Repro - Generalizing Stochastic Smoothing for Differentiation and Gradient Estimation

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Repro - Chebyshev Policies Mountain Car

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Repro - Bridging the Gap Between Average and Discounted TD Learning

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Repro - Improved Dimension Dependence for Bandit Convex Optimization with Gradient Variation

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Repro - A theory of learning data statistics in diffusion models, from easy to hard

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Repro - Anytime Detection of Strategic Deviations in Multi-Agent Systems

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Repro - Two-Layer Linear Auto-Regressive Models Estimate Latent States

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Repro - On the Accuracy of Newton Step and Influence Function Data Attribution

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Repro - (Doubly) Exponential Lower Bounds for Follow the Regularized Leader in Potential Games

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Repro - Self-Distillation in Ridge Regression

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Repro - Mirror Descent Under Generalized Smoothness

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Reproduction: Adam on degenerate polynomials

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Repro - Ski Rental with Distributional Predictions of Unknown Quality

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Repro - Attention Head Stability

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