publication venue for
- Adversarially Robust Learning with Tolerance 2023
- DENL: Diverse Ensemble and Noisy Logits for Improved Robustness of Neural Networks 2023
- Polynomial Time and Private Learning of Unbounded Gaussian Mixture Models 2023
- The Saddle-Point Method in Differential Privacy 2023
- Private and polynomial time algorithms for learning Gaussians and beyond: Extended Abstract 2022
- Semi-Markov Offline Reinforcement Learning for Healthcare 2022
- On the Sample Complexity of Privately Learning Unbounded High-Dimensional Gaussians 2021
- Optimizing Optimizers: Regret-optimal gradient descent algorithms 2021
- On the Sample Complexity of Learning Sum-Product Networks 2020