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Stochastic Processes

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Papers

Monte Carlo Gradient Estimation in Machine Learning JMLR 2020 Multiplicative Gaussian Particle Filter AISTATS 2020 Multi-Speaker Emotion Conversion via Latent Variable Regularization and a Chained Encoder-Decoder-Predictor Network Interspeech 2020 Neural Dialogue State Tracking with Temporally Expressive Networks EMNLP 2020 Neural Generation of Dialogue Response Timings ACL 2020 Neural Tangents: Fast and Easy Infinite Neural Networks in Python ICLR 2020 Neural Temporal Opinion Modelling for Opinion Prediction on Twitter ACL 2020 Non-convex Learning via Replica Exchange Stochastic Gradient MCMC ICML 2020 “None of the Above”: Measure Uncertainty in Dialog Response Retrieval ACL 2020 Non-Stationary Delayed Bandits with Intermediate Observations ICML 2020 Observe Before Play: Multi-Armed Bandit with Pre-Observations AAAI 2020 On Linear Stochastic Approximation: Fine-grained Polyak-Ruppert and Non-Asymptotic Concentration COLT 2020 Online Learning for Active Cache Synchronization ICML 2020 Online Learning with Dependent Stochastic Feedback Graphs ICML 2020 Online matrix factorization for Markovian data and applications to Network Dictionary Learning JMLR 2020 Online Multi-Kernel Learning with Graph-Structured Feedback ICML 2020 Online Robust Regression via SGD on the l1 loss NeurIPS 2020 On Stationary-Point Hitting Time and Ergodicity of Stochastic Gradient Langevin Dynamics JMLR 2020 On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems NeurIPS 2020 On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models AAAI 2020 On the consistency of graph-based Bayesian semi-supervised learning and the scalability of sampling algorithms JMLR 2020 On the Generalization Benefit of Noise in Stochastic Gradient Descent ICML 2020 On the interplay between noise and curvature and its effect on optimization and generalization AISTATS 2020 On the Noisy Gradient Descent that Generalizes as SGD ICML 2020 On the Power of Louvain in the Stochastic Block Model NeurIPS 2020