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Stochastic Processes

2,667 papers

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Papers

Learning deep kernels for exponential family densities ICML 2019
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning ICML 2019
The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects 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
Average-case Analysis of the Assignment Problem with Independent Preferences IJCAI 2019
Optimal Exploitation of Clustering and History Information in Multi-armed Bandit IJCAI 2019
Confirmatory Bayesian Online Change Point Detection in the Covariance Structure of Gaussian Processes IJCAI 2019
Conditions on Features for Temporal Difference-Like Methods to Converge IJCAI 2019
Assumed Density Filtering Q-learning IJCAI 2019
Autoregressive Policies for Continuous Control Deep Reinforcement Learning IJCAI 2019
Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control IJCAI 2019
On the Convergence of (Stochastic) Gradient Descent with Extrapolation for Non-Convex Minimization IJCAI 2019
Large Scale Evolving Graphs with Burst Detection IJCAI 2019
Improving Law Enforcement Daily Deployment Through Machine Learning-Informed Optimization under Uncertainty IJCAI 2019
Daytime Sleepiness Level Prediction Using Respiratory Information IJCAI 2019
Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework IJCNLP 2019
Variable beam search for generative neural parsing and its relevance for the analysis of neuro-imaging signal IJCNLP 2019
Investigation of Transformer Based Spelling Correction Model for CTC-Based End-to-End Mandarin Speech Recognition INTERSPEECH 2019
Analysis and Synthesis of Vocal Flutter and Vocal Jitter INTERSPEECH 2019
Approximations of the Restless Bandit Problem JMLR 2019
Iterated Learning in Dynamic Social Networks JMLR 2019
Stochastic Modified Equations and Dynamics of Stochastic Gradient Algorithms I: Mathematical Foundations JMLR 2019
No-Regret Bayesian Optimization with Unknown Hyperparameters JMLR 2019
Deep Optimal Stopping JMLR 2019