Stochastic Processes

The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects ICML 2019 The Functional Neural Process NeurIPS 2019 Theoretical guarantees for sampling and inference in generative models with latent diffusions COLT 2019 The Randomized Midpoint Method for Log-Concave Sampling NeurIPS 2019 There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average ICLR 2019 The Role of Memory in Stochastic Optimization UAI 2019 Thinning for Accelerating the Learning of Point Processes NeurIPS 2019 Tight Dimension Independent Lower Bound on the Expected Convergence Rate for Diminishing Step Sizes in SGD NeurIPS 2019 Traffic Updates: Saying a Lot While Revealing a Little AAAI 2019 Transfer of Samples in Policy Search via Multiple Importance Sampling ICML 2019 Two Time-scale Off-Policy TD Learning: Non-asymptotic Analysis over Markovian Samples NeurIPS 2019 Uncertainty on Asynchronous Time Event Prediction NeurIPS 2019 Understanding MCMC Dynamics as Flows on the Wasserstein Space ICML 2019 Understanding Persuasion Cascades in Online Product Rating Systems AAAI 2019 Understanding the Impact of Entropy on Policy Optimization ICML 2019 Uniform regret bounds over R^d for the sequential linear regression problem with the square loss ALT 2019 Unsupervised Dialog Structure Learning NAACL 2019 User-Specified Local Differential Privacy in Unconstrained Adaptive Online Learning NeurIPS 2019 Using Statistics to Automate Stochastic Optimization NeurIPS 2019 Variance Reduction for Reinforcement Learning in Input-Driven Environments ICLR 2019 A Bayesian Perspective on Generalization and Stochastic Gradient Descent ICLR 2018 Accurate Inference for Adaptive Linear Models ICML 2018 Acoustic-Prosodic Features of Tabla Bol Recitation and Correspondence with the Tabla Imitation Interspeech 2018 Adaptive Methods for Nonconvex Optimization NeurIPS 2018 A Finite Time Analysis of Temporal Difference Learning With Linear Function Approximation COLT 2018