| A Conditional Gradient-based Method for Simple Bilevel Optimization with Convex Lower-level Problem R Jiang, N Abolfazli, A Mokhtari, EY Hamedani arXiv preprint arXiv:2206.08868, 2022 | 26 | 2022 |
| Generalized Optimistic Methods for Convex-Concave Saddle Point Problems R Jiang, A Mokhtari arXiv preprint arXiv:2202.09674, 2022 | 23 | 2022 |
| Cluster-based cooperative digital over-the-air aggregation for wireless federated edge learning R Jiang, S Zhou 2020 IEEE/CIC International Conference on Communications in China (ICCC …, 2020 | 18 | 2020 |
| Online learning guided curvature approximation: A quasi-Newton method with global non-asymptotic superlinear convergence R Jiang, Q Jin, A Mokhtari The Thirty Sixth Annual Conference on Learning Theory, 1962-1992, 2023 | 12 | 2023 |
| Accelerated quasi-newton proximal extragradient: Faster rate for smooth convex optimization R Jiang, A Mokhtari Advances in Neural Information Processing Systems 36, 2023 | 8 | 2023 |
| Projection-free methods for stochastic simple bilevel optimization with convex lower-level problem J Cao, R Jiang, N Abolfazli, E Yazdandoost Hamedani, A Mokhtari Advances in Neural Information Processing Systems 36, 2023 | 7 | 2023 |
| Achieving Cooperative Diversity in Over-the-Air Computation via Relay Selection R Jiang, S Zhou, K Huang 2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall), 1-6, 2020 | 6 | 2020 |
| Future gradient descent for adapting the temporal shifting data distribution in online recommendation systems M Ye, R Jiang, H Wang, D Choudhary, X Du, B Bhushanam, A Mokhtari, ... Uncertainty in Artificial Intelligence, 2256-2266, 2022 | 5 | 2022 |
| Tightness and Equivalence of Semidefinite Relaxations for MIMO Detection R Jiang, YF Liu, C Bao, B Jiang arXiv preprint arXiv:2102.04586, 2021 | 5 | 2021 |
| Non-asymptotic Global Convergence Rates of BFGS with Exact Line Search Q Jin, R Jiang, A Mokhtari arXiv preprint arXiv:2404.01267, 2024 | 4 | 2024 |
| An Inexact Conditional Gradient Method for Constrained Bilevel Optimization N Abolfazli, R Jiang, A Mokhtari, EY Hamedani arXiv preprint arXiv:2306.02429, 2023 | 4 | 2023 |
| Antenna Efficiency in Massive MIMO Detection R Jiang, YF Liu 2021 IEEE 22nd International Workshop on Signal Processing Advances in …, 2021 | 4 | 2021 |
| An Accelerated Gradient Method for Simple Bilevel Optimization with Convex Lower-level Problem J Cao, R Jiang, EY Hamedani, A Mokhtari arXiv preprint arXiv:2402.08097, 2024 | 2 | 2024 |
| Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization R Jiang, A Kavis, Q Jin, S Sanghavi, A Mokhtari arXiv preprint arXiv:2406.02016, 2024 | 1 | 2024 |
| Stochastic Newton Proximal Extragradient Method R Jiang, M Dereziński, A Mokhtari arXiv preprint arXiv:2406.01478, 2024 | 1 | 2024 |
| Convergence Analysis of Adaptive Gradient Methods under Refined Smoothness and Noise Assumptions D Maladkar, R Jiang, A Mokhtari arXiv preprint arXiv:2406.04592, 2024 | | 2024 |
| Non-asymptotic Global Convergence Analysis of BFGS with the Armijo-Wolfe Line Search Q Jin, R Jiang, A Mokhtari arXiv preprint arXiv:2404.16731, 2024 | | 2024 |
| Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate R Jiang, P Raman, S Sabach, A Mokhtari, M Hong, V Cevher International Conference on Artificial Intelligence and Statistics, 4411-4419, 2024 | | 2024 |
Aryan MokhtariUniversity of Texas at AustinVerified email at austin.utexas.edu
