Stochastic Processes

Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation NeurIPS 2018 Breaking the Span Assumption Yields Fast Finite-Sum Minimization NeurIPS 2018 Comparing Dynamics: Deep Neural Networks versus Glassy Systems ICML 2018 Convergence of Langevin MCMC in KL-divergence ALT 2018 Convergence of Unregularized Online Learning Algorithms JMLR 2018 Corrupt Bandits for Preserving Local Privacy ALT 2018 Data-Dependent Stability of Stochastic Gradient Descent ICML 2018 Deep Bayesian Nonparametric Tracking ICML 2018 Deep Spatio-Temporal Random Fields for Efficient Video Segmentation CVPR 2018 Delayed Sampling and Automatic Rao-Blackwellization of Probabilistic Programs AISTATS 2018 Determining Event Durations: Models and Error Analysis NAACL 2018 DiCE: The Infinitely Differentiable Monte Carlo Estimator ICML 2018 Differential Equations for Modeling Asynchronous Algorithms IJCAI 2018 Dimensionally Tight Bounds for Second-Order Hamiltonian Monte Carlo NeurIPS 2018 Discovering and Removing Exogenous State Variables and Rewards for Reinforcement Learning ICML 2018 Discrete Interventions in Hawkes Processes with Applications in Invasive Species Management IJCAI 2018 Distributed Distributional Deterministic Policy Gradients ICLR 2018 Dynamic Resource Routing using Real-Time Dynamic Programming IJCAI 2018 Efficient inference for time-varying behavior during learning NeurIPS 2018 Empirical bounds for functions with weak interactions COLT 2018 Entropy Rate Estimation for Markov Chains with Large State Space NeurIPS 2018 Estimation of Markov Chain via Rank-Constrained Likelihood ICML 2018 Exploiting Stochasticity for the Control of Transitions in Gyre Flows RSS 2018 Exponential Convergence of Testing Error for Stochastic Gradient Methods COLT 2018 Far-Field Speech Recognition Using Multivariate Autoregressive Models Interspeech 2018