Publications

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

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

Pdf Poster

Adaptive Federated Learning with Auto-Tuned Clients.

Under review.

Preprint

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

Under review.

Preprint

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.

Pdf Poster

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

Provably Efficient Lottery Ticket Discovery.

Preprint.

Preprint

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

Preprint.

Preprint

Undersmoothed Uncertainty Quantification for Unfolding.

Technical Report, 2019.

Report Code Documentation