minimax optimization

Minimax Curriculum Learning: Machine Teaching with Desirable Difficulties and Scheduled Diversity ICLR 2018 Robust Hypothesis Testing Using Wasserstein Uncertainty Sets NeurIPS 2018 Minimax Approach to Variable Fidelity Data Interpolation AISTATS 2017 Minimax Filter: Learning to Preserve Privacy from Inference Attacks JMLR 2017 Multiple Medoids based Multi-view Relational Fuzzy Clustering with Minimax Optimization IJCAI 2017 Near Minimax Optimal Players for the Finite-Time 3-Expert Prediction Problem NeurIPS 2017 Robust Adversarial Reinforcement Learning ICML 2017 A Minimax Approach to Supervised Learning NeurIPS 2016 Stochastic Gradient Methods for Distributionally Robust Optimization with f-divergences NeurIPS 2016 Minimax Fixed-Design Linear Regression COLT 2015 Minimax Time Series Prediction NeurIPS 2015 Preserving Privacy of Continuous High-dimensional Data with Minimax Filters AISTATS 2015 Simple regret for infinitely many armed bandits ICML 2015 Multi-feature Spectral Clustering with Minimax Optimization CVPR 2014 Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition NeurIPS 2014 Scaling Up Robust MDPs using Function Approximation ICML 2014 How to Hedge an Option Against an Adversary: Black-Scholes Pricing is Minimax Optimal NeurIPS 2013 Minimax Optimal Algorithms for Unconstrained Linear Optimization NeurIPS 2013 A Simple Geometric Interpretation of SVM using Stochastic Adversaries AISTATS 2012 Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL NeurIPS 2012 Minimax-Optimal Rates For Sparse Additive Models Over Kernel Classes Via Convex Programming JMLR 2012 Active Learning by Querying Informative and Representative Examples NeurIPS 2010 Repeated Games against Budgeted Adversaries NeurIPS 2010