Justin Johnson

RyeCatcher

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https://www.jandsgroupllc.com

AI & ML interests

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updated a Space about 21 hours ago

RyeCatcher/repro-bridging-the-gap-between-average-and-discounted-td-learning

published a Space about 21 hours ago

RyeCatcher/repro-bridging-the-gap-between-average-and-discounted-td-learning

updated a Space about 21 hours ago

RyeCatcher/repro-anytime-detection-of-strategic-deviations-in-multi-agent-systems

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Reproduction: Bridging the Gap Between Average and Discounted TD Learning

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Reproduction: Anytime Detection of Strategic Deviations in Multi-Agent Systems

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Reproduction: Sinkhorn Normalization of Diffusion Kernels

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Reproduction: Compact Conformal Subgraphs

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Reproduction: Maximin Relative Improvement: Fair Learning as a Bargaining Problem

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Reproduction: Alignment-Sensitive Minimax Rates for Spectral Algorithms with Learned Kernels

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Reproduction: The Catastrophic Failure of the k-Means Algorithm in High Dimensions, and How Hartigan's Algorithm Avoids It

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Reproduction: Asymptotically Optimal Sequential Testing with Markovian Data

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Reproduction: Two-Layer Linear Auto-Regressive Models Estimate Latent States

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Reproduction: Stability and Generalization of Nonconvex Optimization with Heavy-Tailed Noise

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Reproduction: Probabilistic Modeling of Latent Agentic Substructures in Deep Neural Networks

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Reproduction: Next-Token Prediction and Regret Minimization

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Reproduction: Model Monotonicity in Autobidding Auctions: When Do Better Predictions Lead to Better Outcomes?

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Reproduction: Mirror Descent Under Generalized Smoothness

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Reproduction: Many Experiments, Few Repetitions, Unpaired Data, and Sparse Effects: Is Causal Inference Possible?

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Reproduction: Linear Regression with Unknown Truncation Beyond Gaussian Features

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Reproduction: Why Deep Jacobian Spectra Separate: Depth-Induced Scaling and Singular-Vector Alignment

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Reproduction: Certificate-Guided Pruning for Stochastic Lipschitz Optimization

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Reproduction: Bregman meets Lévy: Stochastic Mirror Descent with Heavy-Tailed Noise in Continuous and Discrete Time

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Reproduction: On the Existence of Consistent Adversarial Attacks in High-Dimensional Linear Classification

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Reproduction: Optimal Unconstrained Self-Distillation in Ridge Regression: Strict Improvements, Precise Asymptotics, and One-Shot Tuning

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Reproduction: Exactly Computing do-Shapley Values

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Reproduction: Revenue Guarantees of No-Swap-Regret Dynamics in First Price Auctions

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Reproduction: Innovation: An Almost Characterization of Hallucination

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