Stochastic Methods

The Unreasonable Effectiveness of Structured Random Orthogonal Embeddings NeurIPS 2017 Translation Synchronization via Truncated Least Squares NeurIPS 2017 XOR-Sampling for Network Design with Correlated Stochastic Events IJCAI 2017 Zonotope Hit-and-run for Efficient Sampling from Projection DPPs ICML 2017 Accelerating Stochastic Composition Optimization NeurIPS 2016 A Comprehensive Linear Speedup Analysis for Asynchronous Stochastic Parallel Optimization from Zeroth-Order to First-Order NeurIPS 2016 A Consensus-Based Framework for Distributed Bundle Adjustment CVPR 2016 AdaDelay: Delay Adaptive Distributed Stochastic Optimization AISTATS 2016 Adaptive Skills Adaptive Partitions (ASAP) NeurIPS 2016 A General Optimization Framework for Multi-Document Summarization Using Genetic Algorithms and Swarm Intelligence COLING 2016 A Light Touch for Heavily Constrained SGD COLT 2016 A Linearly-Convergent Stochastic L-BFGS Algorithm AISTATS 2016 An optimal algorithm for the Thresholding Bandit Problem ICML 2016 A Novel Risk-Estimation-Theoretic Framework for Speech Enhancement in Nonstationary and Non-Gaussian Noise Conditions Interspeech 2016 Anytime Exploration for Multi-armed Bandits using Confidence Information ICML 2016 Anytime optimal algorithms in stochastic multi-armed bandits ICML 2016 A Statistical Perspective on Randomized Sketching for Ordinary Least-Squares JMLR 2016 A Superlinearly-Convergent Proximal Newton-type Method for the Optimization of Finite Sums ICML 2016 Asynchronous Parallel Greedy Coordinate Descent NeurIPS 2016 (Bandit) Convex Optimization with Biased Noisy Gradient Oracles AISTATS 2016 Batch Bayesian Optimization via Local Penalization AISTATS 2016 Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical Models JMLR 2016 Best-of-K-bandits COLT 2016 Binary embeddings with structured hashed projections ICML 2016 Blazing the trails before beating the path: Sample-efficient Monte-Carlo planning NeurIPS 2016