stat.ML

One Policy is Enough: Parallel Exploration with a Single Policy is Minimax Optimal for Reward-Free Reinforcement Learning
Provably training overparameterized neural network classifiers with non-convex constraints
Fully Stochastic Trust-Region Sequential Quadratic Programming for Equality-Constrained Optimization Problems
Gradient-Variation Bound for Online Convex Optimization with Constraints
Latent Multimodal Functional Graphical Model Estimation
Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning
An adaptive stochastic sequential quadratic programming with differentiable exact augmented lagrangians
A Nonconvex Framework for Structured Dynamic Covariance Recovery
FuDGE: A Method to Estimate a Functional Differential Graph in a High-Dimensional Setting
Joint Gaussian Graphical Model Estimation: A Survey