Stochastic Methods

Leveraging Well-Conditioned Bases: Streaming and Distributed Summaries in Minkowski p-Norms ICML 2018 Locally Private Hypothesis Testing ICML 2018 Log-concave sampling: Metropolis-Hastings algorithms are fast! COLT 2018 Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch NeurIPS 2018 Matrix Norms in Data Streams: Faster, Multi-Pass and Row-Order ICML 2018 Mental Sampling in Multimodal Representations NeurIPS 2018 Methods for off-line/on-line optimization under uncertainty IJCAI 2018 Minibatch Gibbs Sampling on Large Graphical Models ICML 2018 Mirrored Langevin Dynamics NeurIPS 2018 MISSION: Ultra Large-Scale Feature Selection using Count-Sketches ICML 2018 Multi-Fidelity Black-Box Optimization with Hierarchical Partitions ICML 2018 Multi-talker Speech Separation Based on Permutation Invariant Training and Beamforming Interspeech 2018 Natasha 2: Faster Non-Convex Optimization Than SGD NeurIPS 2018 Near-Optimal Policies for Dynamic Multinomial Logit Assortment Selection Models NeurIPS 2018 Neural Guided Constraint Logic Programming for Program Synthesis NeurIPS 2018 Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency EMNLP 2018 Nonasymptotic convergence of stochastic proximal point methods for constrained convex optimization JMLR 2018 Non-monotone Submodular Maximization in Exponentially Fewer Iterations NeurIPS 2018 Now You Shake Me: Towards Automatic 4D Cinema CVPR 2018 On Acceleration with Noise-Corrupted Gradients ICML 2018 On Coresets for Logistic Regression NeurIPS 2018 On Fast Leverage Score Sampling and Optimal Learning NeurIPS 2018 Online Continuous-Time Tensor Factorization Based on Pairwise Interactive Point Processes IJCAI 2018 Online convex optimization for cumulative constraints NeurIPS 2018 Online Improper Learning with an Approximation Oracle NeurIPS 2018