Improving Offline RL by Blending Heuristics.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Model-Regularized Machine Learning for Decision-Making
PhD thesis, 2023
Reinforcement learning paycheck optimization for multivariate financial goals.
Risk Decis. Anal., 2023
A Data-Driven State Aggregation Approach for Dynamic Discrete Choice Models.
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Identifying Reward Functions using Anchor Actions.
CoRR, 2020
Deep PQR: Solving Inverse Reinforcement Learning using Anchor Actions.
Proceedings of the 37th International Conference on Machine Learning, 2020
Joint Nonparametric Precision Matrix Estimation with Confounding.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019
Partially Linear Additive Gaussian Graphical Models.
Proceedings of the 36th International Conference on Machine Learning, 2019
Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018
Temporal Poisson Square Root Graphical Models.
Proceedings of the 35th International Conference on Machine Learning, 2018
A Screening Rule for l1-Regularized Ising Model Estimation.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017