Publications

On the Error-Propagation of Inexact Deflation for Principal Component Analysis.

International Conference on Machine Learning (ICML) 2024.

Smoothness-Adaptive Sharpness-Aware Minimization for Finding Flatter Minima.

Practical Machine Learning for Low Resource Settings Workshop, ICLR 2024.

OpenReview Poster

How Much Pre-training Is Enough to Discover a Good Subnetwork?.

Transactions on Machine Learning Research (TMLR) 2024.

OpenReview Preprint

When is Momentum Extragradient Optimal? A Polynomial-Based Analysis.

Transactions on Machine Learning Research (TMLR) 2024.

OpenReview Preprint

Adaptive Federated Learning with Auto-Tuned Clients.

International Conference on Learning Representations (ICLR) 2024.

Preprint Poster

Adaptive Federated Learning with Auto-Tuned Clients via Local Smoothness.

Federated Learning and Analytics in Practice: Algorithms, Systems, Applications, and Opportunities Workshop, ICML 2023.

Fast Quantum State Tomography via Accelerated Non-convex Programming.

Photonics 2023, 10(2), 116 / Quantum Information Processing (QIP) 2023 (poster).

Pdf Preprint Code Slides Poster Blog Press

Momentum Extragradient is Optimal for Games with Cross-Shaped Spectrum.

Workshop on Optimization for Machine Learning, NeurIPS 2022.

Local Stochastic Factored Gradient Descent for Distributed Quantum State Tomography.

IEEE Control Systems Letters 2022 / Quantum Information Processing (QIP) 2023 (poster).

Pdf Preprint Poster

Convergence and Stability of the Stochastic Proximal Point Algorithm with Momentum.

Learning for Dynamics and Control (L4DC) 2022.

Pdf Preprint Blog Poster

Acceleration and Stability of the Stochastic Proximal Point Algorithm.

Workshop on Optimization for Machine Learning, NeurIPS 2021 (spotlight).

Pdf Blog Poster

Momentum-inspired low-rank coordinate descent for diagonally constrained SDPs.

Preprint.

Undersmoothed Uncertainty Quantification for Unfolding.

Technical Report, 2019.

Report Code Documentation