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stochastic process
stochastic process
388 papers
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Also known as
SP
Co-occurring keywords
bayesian inference
(1907)
regret bound
(1926)
variational inference
(2069)
markov chain monte carlo
(725)
online learning
(1777)
multi-armed bandit
(1098)
gaussian process
(1200)
probabilistic modeling
(852)
markov chain
(207)
markov decision process
(790)
Papers
Structured Variational Inference in Continuous Cox Process Models
NIPS 2019
Online Markov Decoding: Lower Bounds and Near-Optimal Approximation Algorithms
NIPS 2019
Neural Jump Stochastic Differential Equations
NIPS 2019
Characterizing the Exact Behaviors of Temporal Difference Learning Algorithms Using Markov Jump Linear System Theory
NIPS 2019
Hamiltonian Monte Carlo with Energy Conserving Subsampling
JMLR 2019
Online Algorithm for Unsupervised Sensor Selection
AISTATS 2019
Non-linear process convolutions for multi-output Gaussian processes
AISTATS 2019
Learning Without Mixing: Towards A Sharp Analysis of Linear System Identification
COLT 2018
Accelerating Stochastic Gradient Descent for Least Squares Regression
COLT 2018
Implicit Probabilistic Integrators for ODEs
NIPS 2018
Video Prediction via Selective Sampling
NIPS 2018
Learning Continuous Time Bayesian Networks in Non-stationary Domains
IJCAI 2018
Universal discrete-time reservoir computers with stochastic inputs and linear readouts using non-homogeneous state-affine systems
JMLR 2018
Neural Networks for Predicting Algorithm Runtime Distributions
IJCAI 2018
Counterfactual Resimulation for Causal Analysis of Rule-Based Models
IJCAI 2018
Convergence of Value Aggregation for Imitation Learning
AISTATS 2018
On Q-learning Convergence for Non-Markov Decision Processes
IJCAI 2018
Planning and Learning with Stochastic Action Sets
IJCAI 2018
Sampling as optimization in the space of measures: The Langevin dynamics as a composite optimization problem
COLT 2018
Local Optimality and Generalization Guarantees for the Langevin Algorithm via Empirical Metastability
COLT 2018
Modelling sparsity, heterogeneity, reciprocity and community structure in temporal interaction data
NIPS 2018
Concentration inequalities for empirical processes of linear time series
JMLR 2018
PCA of high dimensional random walks with comparison to neural network training
NIPS 2018
MoCoGAN: Decomposing Motion and Content for Video Generation
CVPR 2018
Scalable Gaussian Processes with Grid-Structured Eigenfunctions (GP-GRIEF)
ICML 2018
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