minimax optimization

Optimal Margin Distribution Machine for Multi-Instance Learning IJCAI 2020 Optimal transport mapping via input convex neural networks ICML 2020 Precise Tradeoffs in Adversarial Training for Linear Regression COLT 2020 Robust and Stable Black Box Explanations ICML 2020 Robust Federated Learning: The Case of Affine Distribution Shifts NeurIPS 2020 Stochastic Recursive Gradient Descent Ascent for Stochastic Nonconvex-Strongly-Concave Minimax Problems NeurIPS 2020 Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation NeurIPS 2020 What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization? ICML 2020 Adversarial Discrete Sequence Generation without Explicit NeuralNetworks as Discriminators AISTATS 2019 Adversarial Machine Learning with Double Oracle IJCAI 2019 A minimax near-optimal algorithm for adaptive rejection sampling ALT 2019 Bridging Theory and Algorithm for Domain Adaptation ICML 2019 Efficient Algorithms for Smooth Minimax Optimization NeurIPS 2019 On Scalable and Efficient Computation of Large Scale Optimal Transport ICML 2019 On the Global Optima of Kernelized Adversarial Representation Learning ICCV 2019 REPAIR: Removing Representation Bias by Dataset Resampling CVPR 2019 Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient AAAI 2019 Theoretical Analysis of Adversarial Learning: A Minimax Approach NeurIPS 2019 An Online Learning Approach to Generative Adversarial Networks ICLR 2018 Boosting the Actor with Dual Critic ICLR 2018 Composite Functional Gradient Learning of Generative Adversarial Models ICML 2018 Horizon-Independent Minimax Linear Regression NeurIPS 2018 Improving Neural Machine Translation with Conditional Sequence Generative Adversarial Nets NAACL 2018 K-Beam Minimax: Efficient Optimization for Deep Adversarial Learning ICML 2018 Learning SMaLL Predictors NeurIPS 2018