Stochastic Methods

Approximation algorithms for stochastic clustering NeurIPS 2018 Approximation Guarantees for Adaptive Sampling ICML 2018 Approximation Guarantees of Stochastic Greedy Algorithms for Subset Selection IJCAI 2018 A Simple Proximal Stochastic Gradient Method for Nonsmooth Nonconvex Optimization NeurIPS 2018 A Stochastic Differential Equation Framework for Guiding Online User Activities in Closed Loop AISTATS 2018 ASVRG: Accelerated Proximal SVRG ACML 2018 Asymptotic optimality of adaptive importance sampling NeurIPS 2018 Asynchronous Doubly Stochastic Group Regularized Learning AISTATS 2018 A Tight Bound of Hard Thresholding JMLR 2018 ATOMO: Communication-efficient Learning via Atomic Sparsification NeurIPS 2018 Batched Large-scale Bayesian Optimization in High-dimensional Spaces AISTATS 2018 Bayesian Pose Graph Optimization via Bingham Distributions and Tempered Geodesic MCMC NeurIPS 2018 Best of both worlds: Stochastic & adversarial best-arm identification COLT 2018 Biased Random Walk based Social Regularization for Word Embeddings IJCAI 2018 Bounded-Loss Private Prediction Markets NeurIPS 2018 Breaking the Span Assumption Yields Fast Finite-Sum Minimization NeurIPS 2018 Bucket Renormalization for Approximate Inference ICML 2018 Complexity of Scheduling Charging in the Smart Grid IJCAI 2018 Conditional Gradient Method for Stochastic Submodular Maximization: Closing the Gap AISTATS 2018 Continuous and Discrete-time Accelerated Stochastic Mirror Descent for Strongly Convex Functions ICML 2018 Contour location via entropy reduction leveraging multiple information sources NeurIPS 2018 Convergence diagnostics for stochastic gradient descent with constant learning rate AISTATS 2018 Convergence guarantees for a class of non-convex and non-smooth optimization problems ICML 2018 Copa: Practical Delay-Based Congestion Control for the Internet NSDI 2018 Counting Motifs with Graph Sampling COLT 2018