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Stochastic Processes

2,667 papers

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Papers

Efficient Diversified Mini-Batch Selection using Variable High-layer Features ACML 2019
A Generalization Bound for Online Variational Inference ACML 2019
Stochastic Gradient Trees ACML 2019
Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers AISTATS 2019
LF-PPL: A Low-Level First Order Probabilistic Programming Language for Non-Differentiable Models AISTATS 2019
Pathwise Derivatives for Multivariate Distributions AISTATS 2019
Gain estimation of linear dynamical systems using Thompson Sampling AISTATS 2019
Finding the bandit in a graph: Sequential search-and-stop AISTATS 2019
Non-linear process convolutions for multi-output Gaussian processes AISTATS 2019
Bridging the gap between regret minimization and best arm identification, with application to A/B tests AISTATS 2019
Gaussian Process Modulated Cox Processes under Linear Inequality Constraints AISTATS 2019
Regularized Contextual Bandits AISTATS 2019
Dynamical Isometry is Achieved in Residual Networks in a Universal Way for any Activation Function AISTATS 2019
Avoiding Latent Variable Collapse with Generative Skip Models AISTATS 2019
Rotting bandits are no harder than stochastic ones AISTATS 2019
Credit Assignment Techniques in Stochastic Computation Graphs AISTATS 2019
Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era AISTATS 2019
Exploring $k$ out of Top $ρ$ Fraction of Arms in Stochastic Bandits AISTATS 2019
Adaptive Rao-Blackwellisation in Gibbs Sampling for Probabilistic Graphical Models AISTATS 2019
Sampling from Non-Log-Concave Distributions via Variance-Reduced Gradient Langevin Dynamics 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
A simple parameter-free and adaptive approach to optimization under a minimal local smoothness assumption ALT 2019