RyeCatcher (Justin Johnson)

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

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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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Explore code, traces, and workspace in an interactive logbook

Justin Johnson

AI & ML interests

Organizations

RyeCatcher 's Spaces 163

Reproduction: Optimal Transport Group Counterfactual Explanations

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

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

Reproduction: Harmful Overfitting in Sobolev Spaces

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

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

Reproduction: Deep Networks Learn Deep Hierarchical Models

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

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

Reproduction: Approximating f-Divergences with Rank Statistics

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

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

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

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

Reproduction: Projection-Free Algorithms for Minimax Problems

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

Reproduction: Provably Learning Attention with Queries

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

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

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

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

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

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

Reproduction: Optimal Quantum Speedups for Repeatedly Nested Expectation Estimation

Justin Johnson

AI & ML interests

Organizations

RyeCatcher 's Spaces 163 Sort: Recently updated

Reproduction: Optimal Transport Group Counterfactual Explanations

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

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

Reproduction: Harmful Overfitting in Sobolev Spaces

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

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

Reproduction: Deep Networks Learn Deep Hierarchical Models

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

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

Reproduction: Approximating f-Divergences with Rank Statistics

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

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

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

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

Reproduction: Projection-Free Algorithms for Minimax Problems

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

Reproduction: Provably Learning Attention with Queries

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

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

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

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

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

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

Reproduction: Optimal Quantum Speedups for Repeatedly Nested Expectation Estimation

RyeCatcher 's Spaces 163