publication venue for
- Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum 2024
- Sample-Optimal Locally Private Hypothesis Selection and the Provable Benefits of Interactivity 2024
- 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
- Optimizing Optimizers: Regret-optimal gradient descent algorithms 2021
- On the Sample Complexity of Learning Sum-Product Networks 2020