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Reproduction: DPO Unchained: Your Training Algorithm is Secretly Disentangled in Human Choice Theory (and Its Loss' Convexity is Dispensable)
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Reproduction: Online Robust Reinforcement Learning with General Function Approximation
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Reproduction: Minimax Optimal Strategy for Delayed Observations in Online Reinforcement Learning
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Reproduction: When to Trust the Cheap Check: Weak and Strong Verification for Reasoning
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Reproduction: Near-Optimal Regret for KL-Regularized Multi-Armed Bandits
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Reproduction: Relational Structural Causal Models
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Reproduction: The Sign Estimator: Preference Modeling for LLM Alignment under Heterogeneity
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Reproduction: A Stronger Benchmark for Online Bilateral Trade: From Fixed Prices to Distributions
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Reproduction: Flatness-Aware Stochastic Gradient Langevin Dynamics
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Reproduction: Token Sample Complexity of Attention
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Reproduction: Multi-Level Strategic Classification: Incentivizing Improvement through Promotion and Relegation Dynamics
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Reproduction: Beyond First-order Asymptotics in Sequential Mean Testing
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Reproduction: Reinforcement Learning with Pairwise Preferences in Long-Term Decision Problems
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Reproduction: Sampling and Identity-Testing Without Approximate Tensorization of Entropy
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Reproduction: Attention's forward pass and Frank-Wolfe
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Reproduction: Performative Learning Theory
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Reproduction: Dynamic Programming for Epistemic Uncertainty in Markov Decision Processes
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Reproduction: Noisy Pairwise-Comparison Random Search for Smooth Nonconvex Optimization
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Reproduction: Exact and Approximate Algorithms for Polytree Learning
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Reproduction: Stable Localized Conformal Prediction via Transduction
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Reproduction: Tight Margin-Based Generalization Bounds for Voting Classifiers over Finite Hypothesis Sets
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Reproduction: Positive Distribution Shift as a Framework for Understanding Tractable Learning
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Reproduction: Revenue Guarantees of No-Swap-Regret Dynamics in First Price Auctions
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Reproduction: Convergence Analysis of the Lion Optimizer in Centralized and Distributed Settings
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