Title |
|---|
 Ito Diffusion Approximation of Universal Ito Chains for Sampling,
Optimization and BoostingInternational Conference on Learning Representations (ICLR), 2023 |
 An SDE for Modeling SAM: Theory and InsightsInternational Conference on Machine Learning (ICML), 2023 |
 Generalized Gradient Flows with Provable Fixed-Time Convergence and Fast
Evasion of Non-Degenerate Saddle PointsIEEE Transactions on Automatic Control (TAC), 2022 |
 From Gradient Flow on Population Loss to Learning with Stochastic
Gradient DescentNeural Information Processing Systems (NeurIPS), 2022 |
 Understanding A Class of Decentralized and Federated Optimization
Algorithms: A Multi-Rate Feedback Control PerspectiveSIAM Journal on Optimization (SIAM J. Optim.), 2022 |
 Shadowing Properties of Optimization AlgorithmsNeural Information Processing Systems (NeurIPS), 2019 Antonio Orvieto Aurelien Lucchi |
 The Role of Memory in Stochastic OptimizationConference on Uncertainty in Artificial Intelligence (UAI), 2019 |
