Justin Johnson

RyeCatcher

·

https://www.jandsgroupllc.com

AI & ML interests

Im a builder

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updated a Space 8 days ago

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 8 days ago

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

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

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

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

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Reproduction: Online Fair Division with Additional Information

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

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Reproduction: Learning in Structured Stackelberg Games

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Reproduction: Bandit Social Leaning Dynamics with Exploration Episodes

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

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

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

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

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

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

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

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Reproduction: Beyond First-order Asymptotics in Sequential Mean Testing

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

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

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

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Reproduction: Efficiently Learning Drifting Halfspaces with Massart Noise

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

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

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Reproduction: Accelerating Regression Tasks with Quantum Algorithms

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Reproduction: Combinatorial Sparse PCA Beyond the Spiked Identity Model

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Reproduction: Dynamic Programming for Epistemic Uncertainty in Markov Decision Processes

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