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Stochastic Processes

2667 directly classified papers

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Papers

Gain estimation of linear dynamical systems using Thompson Sampling AISTATS 2019
Bridging the gap between regret minimization and best arm identification, with application to A/B tests AISTATS 2019
Regularized Contextual Bandits AISTATS 2019
Rotting bandits are no harder than stochastic ones AISTATS 2019
Adaptive Rao-Blackwellisation in Gibbs Sampling for Probabilistic Graphical Models AISTATS 2019
A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes AISTATS 2019
Online Algorithm for Unsupervised Sensor Selection AISTATS 2019
Online Learning in Kernelized Markov Decision Processes AISTATS 2019
Sample Efficient Graph-Based Optimization with Noisy Observations AISTATS 2019
Scalable Training of Inference Networks for Gaussian-Process Models ICML 2019
3D Backscatter Localization for Fine-Grained Robotics NSDI 2019
The Role of Memory in Stochastic Optimization UAI 2019
Compression with Flows via Local Bits-Back Coding NIPS 2019
Flow-based Image-to-Image Translation with Feature Disentanglement NIPS 2019
Minimax Online Prediction of Varying Bernoulli Process under Variational Approximation ACML 2019
A Generalization Bound for Online Variational Inference ACML 2019
Online Factorization and Partition of Complex Networks by Random Walk UAI 2019
Finding the bandit in a graph: Sequential search-and-stop AISTATS 2019
A Stochastic Composite Gradient Method with Incremental Variance Reduction NIPS 2019
Concentration of risk measures: A Wasserstein distance approach NIPS 2019
The Functional Neural Process NIPS 2019
Non-linear process convolutions for multi-output Gaussian processes AISTATS 2019
Gaussian Process Modulated Cox Processes under Linear Inequality Constraints AISTATS 2019
Uncertainty on Asynchronous Time Event Prediction NIPS 2019
Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework IJCNLP 2019