RyeCatcher (Justin Johnson)

Reproduction: Generalized Boundary FDR Control under Arbitrary Dependence: An Approach on Closure Principle

🎯

Explore code logs, traces, and workspace in one view

Reproduction: Optimal conversion from Rényi Differential Privacy to $f$-Differential Privacy

🎯

Explore experiment logs, traces, and workspace files

Reproduction: Unfolded Laplacian Spectral Embedding: A Theoretically Grounded Approach to Dynamic Network Representation

🎯

Explore code, traces, and workspace in an interactive logbook

Reproduction: Online Fair Division with Additional Information

🎯

Explore and manage experiment logs with AI collaboration

Reproduction: On the Interaction of Batch Noise, Adaptivity, and Compression, under $(L_0,L_1)$-Smoothness: An SDE Approach

🎯

Explore code logs, traces, and workspace in an interactive logbook

Reproduction: Learning in Structured Stackelberg Games

🎯

Explore and manage experiment logs in a web workspace

Reproduction: Bandit Social Leaning Dynamics with Exploration Episodes

🎯

Explore experiment logs, traces, and workspace online

Reproduction: Language Generation with Replay: A Learning-Theoretic View of Model Collapse

🎯

Explore code logs, traces, and workspace

Reproduction: When More Data Doesn't Help: Limits of Adaptation in Multitask Learning

🎯

Explore experiment logs, traces, and workspace

Reproduction: Sampling and Identity-Testing Without Approximate Tensorization of Entropy

🎯

Explore research logs, code, and execution traces

Reproduction: On the Expressive Power of Permutation-Equivariant Weight-Space Networks

🎯

Explore code logs, traces, and workspace with AI collaboration

Reproduction: Amortized Simulation-Based Inference in Generalized Bayes via Neural Posterior Estimation

🎯

Explore code, traces, and workspace in an interactive logbook

Reproduction: Inference of Online Newton Methods with Nesterov's Accelerated Sketching

🎯

Explore experiment logs, code, and traces in an interactive UI

Reproduction: Why Agentic Theorem Prover Works: A Statistical Provability Theory of Mathematical Reasoning Models

🎯

Explore project logs, code traces, and workspace

Reproduction: Beyond First-order Asymptotics in Sequential Mean Testing

🎯

Explore code, traces, and workspace in a research logbook

Reproduction: Solving Imperfect-Recall Games via Sum-of-Squares Optimization

🎯

Explore project logs, code, and execution traces

Reproduction: Provably Data-driven Multiple Hyper-parameter Tuning with Structured Loss Function

🎯

Explore experiment logs, code, and traces in an interactive web UI

Reproduction: Provably Data-driven Lagrangian Relaxation for Mixed Integer Linear Programming

🎯

Browse experiment logs with code, traces, and workspace view

Reproduction: Efficiently Learning Drifting Halfspaces with Massart Noise

🎯

Explore project logs and collaborate with an AI agent

Reproduction: Beyond ReLU: Bifurcation, Oversmoothing, and Topological Priors

🎯

Browse code logs, execution traces, and workspace

Reproduction: All ERMs Can Fail in Stochastic Convex Optimization Lower Bounds in Linear Dimension

🎯

Explore experiment logs and collaborate with an AI agent

Reproduction: Accelerating Regression Tasks with Quantum Algorithms

🎯

Explore and manage project logs, code, and traces

Reproduction: Combinatorial Sparse PCA Beyond the Spiked Identity Model

🎯

Explore research logs, code, and traces in an interactive workspace

Reproduction: Dynamic Programming for Epistemic Uncertainty in Markov Decision Processes

🎯

Explore code, traces and workspace in an interactive logbook

Justin Johnson

AI & ML interests

Organizations

RyeCatcher 's Spaces 163

Reproduction: Generalized Boundary FDR Control under Arbitrary Dependence: An Approach on Closure Principle

Reproduction: Optimal conversion from Rényi Differential Privacy to $f$-Differential Privacy

Reproduction: Unfolded Laplacian Spectral Embedding: A Theoretically Grounded Approach to Dynamic Network Representation

Reproduction: Online Fair Division with Additional Information

Reproduction: On the Interaction of Batch Noise, Adaptivity, and Compression, under $(L_0,L_1)$-Smoothness: An SDE Approach

Reproduction: Learning in Structured Stackelberg Games

Reproduction: Bandit Social Leaning Dynamics with Exploration Episodes

Reproduction: Language Generation with Replay: A Learning-Theoretic View of Model Collapse

Reproduction: When More Data Doesn't Help: Limits of Adaptation in Multitask Learning

Reproduction: Sampling and Identity-Testing Without Approximate Tensorization of Entropy

Reproduction: On the Expressive Power of Permutation-Equivariant Weight-Space Networks

Reproduction: Amortized Simulation-Based Inference in Generalized Bayes via Neural Posterior Estimation

Reproduction: Inference of Online Newton Methods with Nesterov's Accelerated Sketching

Reproduction: Why Agentic Theorem Prover Works: A Statistical Provability Theory of Mathematical Reasoning Models

Reproduction: Beyond First-order Asymptotics in Sequential Mean Testing

Reproduction: Solving Imperfect-Recall Games via Sum-of-Squares Optimization

Reproduction: Provably Data-driven Multiple Hyper-parameter Tuning with Structured Loss Function

Reproduction: Provably Data-driven Lagrangian Relaxation for Mixed Integer Linear Programming

Reproduction: Efficiently Learning Drifting Halfspaces with Massart Noise

Reproduction: Beyond ReLU: Bifurcation, Oversmoothing, and Topological Priors

Reproduction: All ERMs Can Fail in Stochastic Convex Optimization Lower Bounds in Linear Dimension

Reproduction: Accelerating Regression Tasks with Quantum Algorithms

Reproduction: Combinatorial Sparse PCA Beyond the Spiked Identity Model

Reproduction: Dynamic Programming for Epistemic Uncertainty in Markov Decision Processes

Justin Johnson

AI & ML interests

Organizations

RyeCatcher 's Spaces 163 Sort: Recently updated

Reproduction: Generalized Boundary FDR Control under Arbitrary Dependence: An Approach on Closure Principle

Reproduction: Optimal conversion from Rényi Differential Privacy to $f$-Differential Privacy

Reproduction: Unfolded Laplacian Spectral Embedding: A Theoretically Grounded Approach to Dynamic Network Representation

Reproduction: Online Fair Division with Additional Information

Reproduction: On the Interaction of Batch Noise, Adaptivity, and Compression, under $(L_0,L_1)$-Smoothness: An SDE Approach

Reproduction: Learning in Structured Stackelberg Games

Reproduction: Bandit Social Leaning Dynamics with Exploration Episodes

Reproduction: Language Generation with Replay: A Learning-Theoretic View of Model Collapse

Reproduction: When More Data Doesn't Help: Limits of Adaptation in Multitask Learning

Reproduction: Sampling and Identity-Testing Without Approximate Tensorization of Entropy

Reproduction: On the Expressive Power of Permutation-Equivariant Weight-Space Networks

Reproduction: Amortized Simulation-Based Inference in Generalized Bayes via Neural Posterior Estimation

Reproduction: Inference of Online Newton Methods with Nesterov's Accelerated Sketching

Reproduction: Why Agentic Theorem Prover Works: A Statistical Provability Theory of Mathematical Reasoning Models

Reproduction: Beyond First-order Asymptotics in Sequential Mean Testing

Reproduction: Solving Imperfect-Recall Games via Sum-of-Squares Optimization

Reproduction: Provably Data-driven Multiple Hyper-parameter Tuning with Structured Loss Function

Reproduction: Provably Data-driven Lagrangian Relaxation for Mixed Integer Linear Programming

Reproduction: Efficiently Learning Drifting Halfspaces with Massart Noise

Reproduction: Beyond ReLU: Bifurcation, Oversmoothing, and Topological Priors

Reproduction: All ERMs Can Fail in Stochastic Convex Optimization Lower Bounds in Linear Dimension

Reproduction: Accelerating Regression Tasks with Quantum Algorithms

Reproduction: Combinatorial Sparse PCA Beyond the Spiked Identity Model

Reproduction: Dynamic Programming for Epistemic Uncertainty in Markov Decision Processes

RyeCatcher 's Spaces 163