← Optimization & Theory
Machine Learning › Optimization & Theory ›

Stochastic Processes

2667 directly classified papers

Papers per year

Papers

Approximations of the Restless Bandit Problem JMLR 2019
The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects ICML 2019
A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks ICML 2019
Stochastic Gradient Push for Distributed Deep Learning ICML 2019
Bottleneck Potentials in Markov Random Fields ICCV 2019
Neural Finite-State Transducers: Beyond Rational Relations NAACL 2019
Scalable Collapsed Inference for High-Dimensional Topic Models NAACL 2019
Correcting Whitespace Errors in Digitized Historical Texts NAACL 2019
Maximum Expected Hitting Cost of a Markov Decision Process and Informativeness of Rewards NIPS 2019
A Family of Robust Stochastic Operators for Reinforcement Learning NIPS 2019
Unsupervised Dialog Structure Learning NAACL 2019
Large Scale Markov Decision Processes with Changing Rewards NIPS 2019
RUDDER: Return Decomposition for Delayed Rewards NIPS 2019
Goal-Oriented End-to-End Conversational Models with Profile Features in a Real-World Setting NAACL 2019
AReS and MaRS Adversarial and MMD-Minimizing Regression for SDEs ICML 2019
Contextual Multi-armed Bandit Algorithm for Semiparametric Reward Model ICML 2019
Optimal Algorithms for Lipschitz Bandits with Heavy-tailed Rewards ICML 2019
Compressed Factorization: Fast and Accurate Low-Rank Factorization of Compressively-Sensed Data ICML 2019
Learning Hawkes Processes Under Synchronization Noise ICML 2019
Surrogate Losses for Online Learning of Stepsizes in Stochastic Non-Convex Optimization ICML 2019
Beating Stochastic and Adversarial Semi-bandits Optimally and Simultaneously ICML 2019
Co-Generation with GANs using AIS based HMC NIPS 2019
Stochastic Gradient Descent Learns State Equations with Nonlinear Activations COLT 2019
A Statistical Investigation of Long Memory in Language and Music ICML 2019
Overcoming Mean-Field Approximations in Recurrent Gaussian Process Models ICML 2019