stochastic optimization

On Computation and Generalization of Generative Adversarial Imitation Learning ICLR 2020 One Sample Stochastic Frank-Wolfe AISTATS 2020 Online and stochastic optimization beyond Lipschitz continuity: A Riemannian approach ICLR 2020 Online Convex Optimization Over Erdos-Renyi Random Networks NeurIPS 2020 Online Linear Optimization with Many Hints NeurIPS 2020 On Stationary-Point Hitting Time and Ergodicity of Stochastic Gradient Langevin Dynamics JMLR 2020 On the Complexity Analysis of the Primal Solutions for the Accelerated Randomized Dual Coordinate Ascent JMLR 2020 On the Convergence of SARAH and Beyond AISTATS 2020 On the Variance of the Adaptive Learning Rate and Beyond ICLR 2020 Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards NeurIPS 2020 Optimal Private Median Estimation under Minimal Distributional Assumptions NeurIPS 2020 Ordered SGD: A New Stochastic Optimization Framework for Empirical Risk Minimization AISTATS 2020 OSOM: A simultaneously optimal algorithm for multi-armed and linear contextual bandits AISTATS 2020 Prediction with Corrupted Expert Advice NeurIPS 2020 Progressive Identification of True Labels for Partial-Label Learning ICML 2020 ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization JMLR 2020 Randomized Block-Diagonal Preconditioning for Parallel Learning ICML 2020 Random Reshuffling is Not Always Better NeurIPS 2020 RATQ: A Universal Fixed-Length Quantizer for Stochastic Optimization AISTATS 2020 Recht-Re Noncommutative Arithmetic-Geometric Mean Conjecture is False ICML 2020 Regret Minimisation in Multi-Armed Bandits Using Bounded Arm Memory AAAI 2020 Reinforcement Learning of Risk-Constrained Policies in Markov Decision Processes AAAI 2020 Risk Bounds for Low Cost Bipartite Ranking UAI 2020 Robust, Accurate Stochastic Optimization for Variational Inference NeurIPS 2020 Robust Gradient-Based Markov Subsampling AAAI 2020