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Repro - Why Linear Recurrent Memory Works in PORL
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Dinesh Jinjala
DineshAI
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AI & ML interests
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Recent Activity
updated a Space about 3 hours ago
DineshAI/repro-accurate-evaluation-of-quickest-changepoint-detectors-via-non-parametric-survival-analysis published a Space about 3 hours ago
DineshAI/repro-accurate-evaluation-of-quickest-changepoint-detectors-via-non-parametric-survival-analysis published a Space about 3 hours ago
DineshAI/l6KZJO7w48Organizations
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Repro - Isolation Forest Inductive Bias
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Repro - Understanding Behavior Cloning with Action Quantization
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Repro - FiBeR DP-Noise Attenuation (uMdZHVXdOL)
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FaGn04tvzq — Full six-claim reproduction
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Repro - A Perturbation Approach to Unconstrained Linear Bandits
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Repro - Efficient Preference Poisoning Attack on Offline RLHF
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Repro - Densest k-Subgraph Penalty Relaxation Landscape
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Repro - Collapsed Effective Operators (arXiv 2606.23517)
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Claim-by-Claim Reproduction - Alignment-Sensitive Minimax Rates
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Repro - PolyILR / Aitchison decomposition (arXiv 2606.11646)
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Repro - Persuasive Privacy
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Repro - Ski Rental with Distributional Advice (arXiv 2603.29233)
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Repro - A Theoretical Framework for Statistical Evaluability of Generative Models
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Repro - Optimal Bayesian Stopping for Consistent LLM Answers
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Repro - CAffNet Constraint-Affine NN (20hdQQQrA4)
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Repro - Ordinal Similarity Indices
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Conformal C2ST: exact finite-sample randomized ranks
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Repro - Magnitude Distance (arXiv 2602.08859)
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Repro - Anytime Detection of Strategic Deviations in Multi-Agent Systems
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Repro - The Optimal Sample Complexity of Linear Contracts
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Repro - Dynamic Programming for Epistemic Uncertainty in MDPs
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Repro - Optimal Regularization for Performative Learning (G4ve69pimc)
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