Stochastic Methods

Polynomial Cost of Adaptation for X-Armed Bandits NeurIPS 2019 Practical Differentially Private Top-k Selection with Pay-what-you-get Composition NeurIPS 2019 Principal Component Projection and Regression in Nearly Linear Time through Asymmetric SVRG NeurIPS 2019 Privacy Amplification by Mixing and Diffusion Mechanisms NeurIPS 2019 Probabilistic Permutation Synchronization Using the Riemannian Structure of the Birkhoff Polytope CVPR 2019 Proximal Splitting Meets Variance Reduction AISTATS 2019 Pseudo-Extended Markov chain Monte Carlo NeurIPS 2019 Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization IJCAI 2019 Quantile Stein Variational Gradient Descent for Batch Bayesian Optimization ICML 2019 Random Projections and Sampling Algorithms for Clustering of High-Dimensional Polygonal Curves NeurIPS 2019 Random Projections with Asymmetric Quantization NeurIPS 2019 Random Shuffling Beats SGD after Finite Epochs ICML 2019 Random Tessellation Forests NeurIPS 2019 Rapid Convergence of the Unadjusted Langevin Algorithm: Isoperimetry Suffices NeurIPS 2019 Reachable Space Characterization of Markov Decision Processes with Time Variability RSS 2019 Real-Time Planning as Decision-Making under Uncertainty AAAI 2019 Reducing the variance in online optimization by transporting past gradients NeurIPS 2019 Regret Bounds for Thompson Sampling in Episodic Restless Bandit Problems NeurIPS 2019 Rehashing Kernel Evaluation in High Dimensions ICML 2019 Replica Conditional Sequential Monte Carlo ICML 2019 Robust and Communication-Efficient Collaborative Learning NeurIPS 2019 RSN: Randomized Subspace Newton NeurIPS 2019 SAGA with Arbitrary Sampling ICML 2019 Sample Adaptive MCMC NeurIPS 2019 Sampling and Optimization on Convex Sets in Riemannian Manifolds of Non-Negative Curvature COLT 2019