proximal point method

Error bounds, PL condition, and quadratic growth for weakly convex functions, and linear convergences of proximal point methods L4DC 2024 Hierarchical Multi-Marginal Optimal Transport for Network Alignment AAAI 2024 Layerwise Proximal Replay: A Proximal Point Method for Online Continual Learning ICML 2024 Stabilized Proximal-Point Methods for Federated Optimization NeurIPS 2024 Win: Weight-Decay-Integrated Nesterov Acceleration for Faster Network Training JMLR 2024 Convergence of Proximal Point and Extragradient-Based Methods Beyond Monotonicity: the Case of Negative Comonotonicity ICML 2023 Two Losses Are Better Than One: Faster Optimization Using a Cheaper Proxy ICML 2023 Win: Weight-Decay-Integrated Nesterov Acceleration for Adaptive Gradient Algorithms ICLR 2023 Amortized Proximal Optimization NeurIPS 2022 On Regularized Square-root Regression Problems: Distributionally Robust Interpretation and Fast Computations JMLR 2022 Proximal Point Imitation Learning NeurIPS 2022 From Low Probability to High Confidence in Stochastic Convex Optimization JMLR 2021 Structured Logconcave Sampling with a Restricted Gaussian Oracle COLT 2021 Train simultaneously, generalize better: Stability of gradient-based minimax learners ICML 2021 A Feasible Level Proximal Point Method for Nonconvex Sparse Constrained Optimization NeurIPS 2020 A Unified Analysis of Extra-gradient and Optimistic Gradient Methods for Saddle Point Problems: Proximal Point Approach AISTATS 2020 High probability guarantees for stochastic convex optimization COLT 2020 Leverage Score Sampling for Faster Accelerated Regression and ERM ALT 2020 Minibatch Stochastic Approximate Proximal Point Methods NeurIPS 2020 Near-Optimal Algorithms for Minimax Optimization COLT 2020 A Fast Proximal Point Method for Computing Exact Wasserstein Distance UAI 2019 Gromov-Wasserstein Learning for Graph Matching and Node Embedding ICML 2019 Modeling simple structures and geometry for better stochastic optimization algorithms AISTATS 2019 On the Curved Geometry of Accelerated Optimization NeurIPS 2019 Nonasymptotic convergence of stochastic proximal point methods for constrained convex optimization JMLR 2018