conftrace_

proximal point method

23 papers

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Also known as

PPM

Co-occurring keywords

convex optimization (1321) stochastic optimization (1060) proximal point algorithm (13) convergence rate (607) stochastic convex optimization (69) strongly convex (89) optimal transport (948) model-based method (14) gradient descent ascent (31) constrained optimization (281)

Papers

Hierarchical Multi-Marginal Optimal Transport for Network Alignment AAAI 2024
Error bounds, PL condition, and quadratic growth for weakly convex functions, and linear convergences of proximal point methods L4DC 2024
Two Losses Are Better Than One: Faster Optimization Using a Cheaper Proxy ICML 2023
Convergence of Proximal Point and Extragradient-Based Methods Beyond Monotonicity: the Case of Negative Comonotonicity ICML 2023
Proximal Point Imitation Learning NIPS 2022
On Regularized Square-root Regression Problems: Distributionally Robust Interpretation and Fast Computations JMLR 2022
Amortized Proximal Optimization NIPS 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
Leverage Score Sampling for Faster Accelerated Regression and ERM ALT 2020
Minibatch Stochastic Approximate Proximal Point Methods NIPS 2020
High probability guarantees for stochastic convex optimization COLT 2020
Near-Optimal Algorithms for Minimax Optimization COLT 2020
A Feasible Level Proximal Point Method for Nonconvex Sparse Constrained Optimization NIPS 2020
A Unified Analysis of Extra-gradient and Optimistic Gradient Methods for Saddle Point Problems: Proximal Point Approach AISTATS 2020
A Fast Proximal Point Method for Computing Exact Wasserstein Distance UAI 2019
On the Curved Geometry of Accelerated Optimization NIPS 2019
Modeling simple structures and geometry for better stochastic optimization algorithms AISTATS 2019
Gromov-Wasserstein Learning for Graph Matching and Node Embedding ICML 2019
Nonasymptotic convergence of stochastic proximal point methods for constrained convex optimization JMLR 2018
Convergent Block Coordinate Descent for Training Tikhonov Regularized Deep Neural Networks NIPS 2017
Using Symmetry and Evolutionary Search to Minimize Sorting Networks JMLR 2013