Justin Johnson

RyeCatcher

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https://www.jandsgroupllc.com

AI & ML interests

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RyeCatcher/repro-quantifying-error-propagation-and-model-collapse-in-diffusion-models

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RyeCatcher/repro-quantifying-error-propagation-and-model-collapse-in-diffusion-models

updated a Space 3 days ago

RyeCatcher/repro-scalora-optimally-scaled-low-rank-adaptation-for-efficient-high-rank-fine-tuning

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Reproduction: Optimal Transport Group Counterfactual Explanations

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Reproduction: Achieving Logarithmic Regret in KL-Regularized Zero-Sum Markov Games

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Reproduction: On the Infinite Width and Depth Limits of Predictive Coding Networks

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Reproduction: Harmful Overfitting in Sobolev Spaces

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Reproduction: From Generative to Episodic: Sample-Efficient Replicable Reinforcement Learning

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Reproduction: Dimension-free convergence of diffusion models for approximate Gaussian mixtures

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Reproduction: Deep Networks Learn Deep Hierarchical Models

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Reproduction: Provably Convergent Actor-Critic for MARL through Risk-aversion

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Reproduction: Conditional Distributional Treatment Effects: Doubly Robust Estimation and Testing

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Reproduction: Approximating f-Divergences with Rank Statistics

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Reproduction: Adalina: Adaptive Linear Approximation for the Shapley Value and Beyond

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Reproduction: High-accuracy and dimension-free sampling with diffusions

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Reproduction: Transformers Learn the Optimal DDPM Denoiser for Multi-Token GMMs

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Reproduction: Estimation of Treatment Effects Under Nonstationarity via the Truncated Policy Gradient Estimator

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Reproduction: Projection-Free Algorithms for Minimax Problems

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Reproduction: Keeping a Secret Requires a Good Memory: Unconditional Streaming Lower-Bounds for Differentially Private Algorithms

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Reproduction: Provably Learning Attention with Queries

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Reproduction: Dynamic Regret via Discounted-to-Dynamic Reduction with Applications to Curved Losses and Adam Optimizer

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Reproduction: Capacitated Fair-Range Clustering: Hardness and Approximation Algorithms

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

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Reproduction: Full-Batch Gradient Descent Outperforms One-Pass SGD: Sample Complexity Separation in Single-Index Learning

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Reproduction: Corruption-Tolerant Asynchronous Q-Learning with Near-Optimal Rates

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Reproduction: Sharp Inequalities between Total Variation and Hellinger Distances for Gaussian Mixtures

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Reproduction: Optimal Quantum Speedups for Repeatedly Nested Expectation Estimation

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