saddle point optimization

Spectral Representation for Causal Estimation with Hidden Confounders AISTATS 2025 Analysis of Kernel Mirror Prox for Measure Optimization AISTATS 2024 Faster Accelerated First-order Methods for Convex Optimization with Strongly Convex Function Constraints NeurIPS 2024 Differentially Private Algorithms for the Stochastic Saddle Point Problem with Optimal Rates for the Strong Gap COLT 2023 Projection-Free Methods for Solving Nonconvex-Concave Saddle Point Problems NeurIPS 2023 Regret Minimization via Saddle Point Optimization NeurIPS 2023 Unconstrained Online Learning with Unbounded Losses ICML 2023 Generalization Bounds for Stochastic Saddle Point Problems AISTATS 2021 Increasing Iterate Averaging for Solving Saddle-Point Problems AAAI 2021 Linear Last-iterate Convergence in Constrained Saddle-point Optimization ICLR 2021 Logistic Q-Learning AISTATS 2021 Adversarial Mutual Information for Text Generation ICML 2020 Faster saddle-point optimization for solving large-scale Markov decision processes L4DC 2020 Model and Reinforcement Learning for Markov Games with Risk Preferences AAAI 2020 Amortized Bethe Free Energy Minimization for Learning MRFs NeurIPS 2019 A Variational Inequality Perspective on Generative Adversarial Networks ICLR 2019 Correlation in Extensive-Form Games: Saddle-Point Formulation and Benchmarks NeurIPS 2019 Local Saddle Point Optimization: A Curvature Exploitation Approach AISTATS 2019 Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games NeurIPS 2019 Robust Decision Trees Against Adversarial Examples ICML 2019 Predictive Approximate Bayesian Computation via Saddle Points NeurIPS 2018 Bregman Divergence for Stochastic Variance Reduction: Saddle-Point and Adversarial Prediction NeurIPS 2017 Efficient High-Order Interaction-Aware Feature Selection Based on Conditional Mutual Information NeurIPS 2016 Fast Saddle-Point Algorithm for Generalized Dantzig Selector and FDR Control with Ordered L1-Norm AISTATS 2016