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Stochastic Processes

2,667 papers

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Papers

Potential Driven Reinforcement Learning for Hard Exploration Tasks IJCAI 2020
LSGCN: Long Short-Term Traffic Prediction with Graph Convolutional Networks IJCAI 2020
DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs IJCAI 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
Enhancing Formant Information in Spectrographic Display of Speech INTERSPEECH 2020
Statistical and Neural Network Based Speech Activity Detection in Non-Stationary Acoustic Environments INTERSPEECH 2020
Multi-Speaker Emotion Conversion via Latent Variable Regularization and a Chained Encoder-Decoder-Predictor Network INTERSPEECH 2020
Perception of Privacy Measured in the Crowd — Paired Comparison on the Effect of Background Noises INTERSPEECH 2020
Unsupervised Discovery of Recurring Speech Patterns Using Probabilistic Adaptive Metrics INTERSPEECH 2020
On the consistency of graph-based Bayesian semi-supervised learning and the scalability of sampling algorithms JMLR 2020
Graph-Dependent Implicit Regularisation for Distributed Stochastic Subgradient Descent JMLR 2020
Ancestral Gumbel-Top-k Sampling for Sampling Without Replacement JMLR 2020
On Stationary-Point Hitting Time and Ergodicity of Stochastic Gradient Langevin Dynamics JMLR 2020
Fast mixing of Metropolized Hamiltonian Monte Carlo: Benefits of multi-step gradients JMLR 2020
Stochastic Nested Variance Reduction for Nonconvex Optimization JMLR 2020
Identifiability and Consistent Estimation of Nonparametric Translation Hidden Markov Models with General State Space JMLR 2020
A Class of Parallel Doubly Stochastic Algorithms for Large-Scale Learning JMLR 2020
Monte Carlo Gradient Estimation in Machine Learning JMLR 2020
Convergence Rates for the Stochastic Gradient Descent Method for Non-Convex Objective Functions JMLR 2020
Reinforcement Learning in Continuous Time and Space: A Stochastic Control Approach JMLR 2020
Asymptotic Analysis via Stochastic Differential Equations of Gradient Descent Algorithms in Statistical and Computational Paradigms JMLR 2020
Continuous-Time Birth-Death MCMC for Bayesian Regression Tree Models JMLR 2020
Posterior sampling strategies based on discretized stochastic differential equations for machine learning applications JMLR 2020
Risk Bounds for Reservoir Computing JMLR 2020