7 papers
Cofilling Shattering: A Syndrome-Support Hierarchy for Check Erasures
Joshua Steier
Let be a binary linear map with fixed coordinate bases, let , and let be the minimum Hamming weight of a preimage of the s…
Ergodic Deviation-Robust Equilibrium under Mirror Descent Learning in Finite Games
Joshua Steier
We introduce Ergodic Deviation-Robust Equilibrium (EDRE), a dynamics-relative equilibrium concept for repeated finite games in which agents learn via entropic mirror descent (EMD).…
Adjacency Spectral Radius Under Laplacian Sparsification: Deterministic and Probabilistic Bounds
Joshua Steier
Spielman-Srivastava spectral sparsification preserves Laplacian quadratic forms to within (1 +/- epsilon), but does not directly control the adjacency spectral radius lambda_1, whi…
PyHealth 2.0: A Comprehensive Open-Source Toolkit for Accessible and Reproducible Clinical Deep Learning
John Wu, Yongda Fan, Zhenbang Wu +14
Difficulty replicating baselines, high computational costs, and required domain expertise create persistent barriers to clinical AI research. To address these challenges, we introd…
Information Routing in Atomistic Foundation Models: How Task Alignment and Equivariance Shape Linear Disentanglement
Joshua Steier
What determines whether a molecular property prediction model organizes its representations so that geometric and compositional information can be cleanly separated? We introduce C…
PAC Guarantees for Reinforcement Learning: Sample Complexity, Coverage, and Structure
Joshua Steier
When data is scarce or mistakes are costly, average-case metrics fall short. What a practitioner needs is a guarantee: with probability at least , the learned policy is $\var…