Showing 1–16 of 16 results
/ Date/ Name
Nov 11, 2021Convergence and Stability of the Stochastic Proximal Point Algorithm with MomentumMar 31, 2025On Speedups for Convex Optimization via Quantum DynamicsFeb 13, 2026Quantum Speedups for Group Relaxations of Integer Linear ProgramsMar 22, 2022Local Stochastic Factored Gradient Descent for Distributed Quantum State TomographyJun 19, 2023Adaptive Federated Learning with Auto-Tuned ClientsOct 6, 2023On the Error-Propagation of Inexact Hotelling's Deflation for Principal Component AnalysisJun 19, 2024A Catalyst Framework for the Quantum Linear System Problem via the Proximal Point AlgorithmNov 9, 2022When is Momentum Extragradient Optimal? A Polynomial-Based AnalysisJun 16, 2021Momentum-inspired Low-Rank Coordinate Descent for Diagonally Constrained SDPsOct 8, 2025End-to-end quantum algorithms for tensor problemsMar 21, 2025Fast Convex Optimization with Quantum Gradient MethodsOct 3, 2025Mechanisms for Quantum Advantage in Global Optimization of Nonconvex FunctionsApr 14, 2021Fast quantum state reconstruction via accelerated non-convex programmingJul 31, 2021How much pre-training is enough to discover a good subnetwork?Aug 18, 2025A simple analysis of a quantum-inspired algorithm for solving low-rank linear systemsNov 7, 2024Solving Hidden Monotone Variational Inequalities with Surrogate Losses