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Stochastic Processes

2667 directly classified papers

Papers per year

Papers

Modelling Suspense in Short Stories as Uncertainty Reduction over Neural Representation ACL 2020
Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning NIPS 2020
Identifiability and Consistent Estimation of Nonparametric Translation Hidden Markov Models with General State Space JMLR 2020
Low Bias Low Variance Gradient Estimates for Boolean Stochastic Networks ICML 2020
Divide, Conquer, and Combine: a New Inference Strategy for Probabilistic Programs with Stochastic Support ICML 2020
Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies ICML 2020
From Importance Sampling to Doubly Robust Policy Gradient ICML 2020
Perception of Privacy Measured in the Crowd — Paired Comparison on the Effect of Background Noises INTERSPEECH 2020
The Implicit and Explicit Regularization Effects of Dropout ICML 2020
On the Generalization Benefit of Noise in Stochastic Gradient Descent ICML 2020
Fine-Grained Analysis of Stability and Generalization for Stochastic Gradient Descent ICML 2020
Stochastic Gradient and Langevin Processes ICML 2020
Restarted Bayesian Online Change-point Detector achieves Optimal Detection Delay ICML 2020
Asymptotic Analysis via Stochastic Differential Equations of Gradient Descent Algorithms in Statistical and Computational Paradigms JMLR 2020
Mixed Hamiltonian Monte Carlo for Mixed Discrete and Continuous Variables NIPS 2020
Reasoning about Uncertainties in Discrete-Time Dynamical Systems using Polynomial Forms. NIPS 2020
Dynamic Control of Probabilistic Simple Temporal Networks AAAI 2020
Adaptive Online Estimation of Piecewise Polynomial Trends NIPS 2020
Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction IJCAI 2020
Algorithms for Estimating the Partition Function of Restricted Boltzmann Machines (Extended Abstract) IJCAI 2020
Interference and Generalization in Temporal Difference Learning ICML 2020
Stochastically Dominant Distributional Reinforcement Learning ICML 2020
Involutive MCMC: a Unifying Framework ICML 2020
Almost Tune-Free Variance Reduction ICML 2020
Model Selection in Contextual Stochastic Bandit Problems NIPS 2020