Stochastic Processes

A Hidden Absorbing Semi-Markov Model for Informatively Censored Temporal Data: Learning and Inference JMLR 2018 A Knowledge Driven Structural Segmentation Approach for Play-Talk Classification During Autism Assessment Interspeech 2018 Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs NeurIPS 2018 AmbientGAN: Generative models from lossy measurements ICLR 2018 An Alternative View: When Does SGD Escape Local Minima? ICML 2018 Analytic Expressions for Probabilistic Moments of PL-DNN With Gaussian Input CVPR 2018 Analyzing Reaction Time Sequences from Human Participants in Auditory Experiments Interspeech 2018 Approximate Knowledge Compilation by Online Collapsed Importance Sampling NeurIPS 2018 Approximate message passing for amplitude based optimization ICML 2018 A probabilistic population code based on neural samples NeurIPS 2018 A Reduction for Efficient LDA Topic Reconstruction NeurIPS 2018 A Spectral Approach to Gradient Estimation for Implicit Distributions ICML 2018 A Stochastic Differential Equation Framework for Guiding Online User Activities in Closed Loop AISTATS 2018 Asynchronous Decentralized Parallel Stochastic Gradient Descent ICML 2018 Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization ICML 2018 A Unified Analysis of Stochastic Momentum Methods for Deep Learning IJCAI 2018 A Unified Approach for Multi-step Temporal-Difference Learning with Eligibility Traces in Reinforcement Learning IJCAI 2018 Bandit Learning in Concave N-Person Games NeurIPS 2018 Bandit Learning with Implicit Feedback NeurIPS 2018 Batch IS NOT Heavy: Learning Word Representations From All Samples ACL 2018 Bayesian Nonparametric Poisson-Process Allocation for Time-Sequence Modeling AISTATS 2018 Benefits from Superposed Hawkes Processes AISTATS 2018 Beyond Log-concavity: Provable Guarantees for Sampling Multi-modal Distributions using Simulated Tempering Langevin Monte Carlo NeurIPS 2018 Black-Box Variational Inference for Stochastic Differential Equations ICML 2018 BOCK : Bayesian Optimization with Cylindrical Kernels ICML 2018