conftrace_

stochastic process

388 papers

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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

Uncovering Causality from Multivariate Hawkes Integrated Cumulants ICML 2017
Nearly Optimal Sampling Algorithms for Combinatorial Pure Exploration COLT 2017
Random projection design for scalable implicit smoothing of randomly observed stochastic processes AISTATS 2017
Job Selection in a Network of Autonomous UAVs for Delivery of Goods RSS 2017
A Distributional Perspective on Reinforcement Learning ICML 2017
New Metrics and Algorithms for Stochastic Goal Recognition Design Problems IJCAI 2017
Tracking the Evolution of Customer Purchase Behavior Segmentation via a Fragmentation-Coagulation Process IJCAI 2017
The Scaling Limit of High-Dimensional Online Independent Component Analysis NIPS 2017
Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net NIPS 2017
Finite Sample Analysis of the GTD Policy Evaluation Algorithms in Markov Setting NIPS 2017
DPSCREEN: Dynamic Personalized Screening NIPS 2017
Expectation Propagation with Stochastic Kinetic Model in Complex Interaction Systems NIPS 2017
Doubly Stochastic Variational Inference for Deep Gaussian Processes NIPS 2017
Regularization and the small-ball method II: complexity dependent error rates JMLR 2017
Distribution of Gaussian Process Arc Lengths AISTATS 2017
Learning Theory for Conditional Risk Minimization AISTATS 2017
Isotonic Hawkes Processes ICML 2016
A Variational Analysis of Stochastic Gradient Algorithms ICML 2016
Combinatorial semi-bandit with known covariance NIPS 2016
Universal Approximation Results for the Temporal Restricted Boltzmann Machine and the Recurrent Temporal Restricted Boltzmann Machine JMLR 2016
Reconstructing Parameters of Spreading Models from Partial Observations NIPS 2016
Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition NIPS 2016
Probabilistic Linear Multistep Methods NIPS 2016
On Sparse Variational Methods and the Kullback-Leibler Divergence between Stochastic Processes AISTATS 2016
Early Stopping as Nonparametric Variational Inference AISTATS 2016