stat.ML

Inequality Constrained Stochastic Nonlinear Optimization via Active-Set Sequential Quadratic Programming
Robust Inference for High-Dimensional Linear Models via Residual Randomization
High-dimensional Functional Graphical Model Structure Learning via Neighborhood Selection Approach
High-dimensional Index Volatility Models via Stein's Identity
Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning
Tensor Canonical Correlation Analysis With Convergence and Statistical Guarantees
Provably Efficient Neural Estimation of Structural Equation Model: An Adversarial Approach
Statistical Inference for Networks of High-Dimensional Point Processes
Estimation of a Low-rank Topic-Based Model for Information Cascades
Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees