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Stochastic Processes

2667 directly classified papers

Papers per year

Papers

Deep Bayesian Nonparametric Tracking ICML 2018
Spatio-Temporal Check-in Time Prediction with Recurrent Neural Network based Survival Analysis IJCAI 2018
Steering Social Activity: A Stochastic Optimal Control Point Of View JMLR 2018
Convergence of Unregularized Online Learning Algorithms JMLR 2018
Differential Equations for Modeling Asynchronous Algorithms IJCAI 2018
Exploiting Stochasticity for the Control of Transitions in Gyre Flows RSS 2018
HyP-DESPOT: A Hybrid Parallel Algorithm for Online Planning under Uncertainty RSS 2018
On the Convergence Properties of a K-step Averaging Stochastic Gradient Descent Algorithm for Nonconvex Optimization IJCAI 2018
Stochastic Video Generation with a Learned Prior ICML 2018
Online Adaptive Methods, Universality and Acceleration NIPS 2018
On the Theory of Variance Reduction for Stochastic Gradient Monte Carlo ICML 2018
Spatio-temporal Bayesian On-line Changepoint Detection with Model Selection ICML 2018
Semiparametric Contextual Bandits ICML 2018
Data-Dependent Stability of Stochastic Gradient Descent ICML 2018
Estimation of Markov Chain via Rank-Constrained Likelihood ICML 2018
Optimal Distributed Learning with Multi-pass Stochastic Gradient Methods ICML 2018
Approximate message passing for amplitude based optimization ICML 2018
Instrument-Armed Bandits ALT 2018
Multi-armed Bandits with Compensation NIPS 2018
A probabilistic population code based on neural samples NIPS 2018
Approximate Knowledge Compilation by Online Collapsed Importance Sampling NIPS 2018
Bandit Learning in Concave N-Person Games NIPS 2018
New Insight into Hybrid Stochastic Gradient Descent: Beyond With-Replacement Sampling and Convexity NIPS 2018
Stochastic Nested Variance Reduction for Nonconvex Optimization NIPS 2018
Towards Understanding Acceleration Tradeoff between Momentum and Asynchrony in Nonconvex Stochastic Optimization NIPS 2018