Stochastic Processes

Average-case Analysis of the Assignment Problem with Independent Preferences IJCAI 2019 Avoiding Latent Variable Collapse with Generative Skip Models AISTATS 2019 A Wrapped Normal Distribution on Hyperbolic Space for Gradient-Based Learning ICML 2019 Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era AISTATS 2019 Bayesian Functional Optimisation with Shape Prior AAAI 2019 Bayesian Posterior Approximation via Greedy Particle Optimization AAAI 2019 Beating Stochastic and Adversarial Semi-bandits Optimally and Simultaneously ICML 2019 Bottleneck Potentials in Markov Random Fields ICCV 2019 Bridging the gap between regret minimization and best arm identification, with application to A/B tests AISTATS 2019 Building Trust in Deep Learning System towards Automated Disease Detection AAAI 2019 Caveats for information bottleneck in deterministic scenarios ICLR 2019 CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling AAAI 2019 Characterizing the Exact Behaviors of Temporal Difference Learning Algorithms Using Markov Jump Linear System Theory NeurIPS 2019 Co-Generation with GANs using AIS based HMC NeurIPS 2019 Compressed Factorization: Fast and Accurate Low-Rank Factorization of Compressively-Sensed Data ICML 2019 Compression with Flows via Local Bits-Back Coding NeurIPS 2019 Concentration of risk measures: A Wasserstein distance approach NeurIPS 2019 Conditions on Features for Temporal Difference-Like Methods to Converge IJCAI 2019 Confirmatory Bayesian Online Change Point Detection in the Covariance Structure of Gaussian Processes IJCAI 2019 Consensus in Opinion Formation Processes in Fully Evolving Environments AAAI 2019 Contextual Multi-armed Bandit Algorithm for Semiparametric Reward Model ICML 2019 Continuous-time Models for Stochastic Optimization Algorithms NeurIPS 2019 Coordinated hippocampal-entorhinal replay as structural inference NeurIPS 2019 Correcting Whitespace Errors in Digitized Historical Texts NAACL 2019 Credit Assignment Techniques in Stochastic Computation Graphs AISTATS 2019