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Stochastic Processes

2,667 papers

Papers per year

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Papers

Online matrix factorization for Markovian data and applications to Network Dictionary Learning JMLR 2020
Localized Learning of Robust Controllers for Networked Systems with Dynamic Topology L4DC 2020
Comparing Machine Learning Techniques for Blood Glucose Forecasting Using Free-living and Patient Generated Data MLHC 2020
Is Big Data Performance Reproducible in Modern Cloud Networks? NSDI 2020
Sundial: Fault-tolerant Clock Synchronization for Datacenters OSDI 2020
Generalized Tsallis Entropy Reinforcement Learning and Its Application to Soft Mobile Robots RSS 2020
Deep Learning Tubes for Tube MPC RSS 2020
Slice Sampling for General Completely Random Measures UAI 2020
Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation UAI 2020
Model-Augmented Conditional Mutual Information Estimation for Feature Selection UAI 2020
Finite-Memory Near-Optimal Learning for Markov Decision Processes with Long-Run Average Reward UAI 2020
Probabilistic Safety for Bayesian Neural Networks UAI 2020
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates NIPS 2019
Differentially Private Markov Chain Monte Carlo NIPS 2019
Concentration of risk measures: A Wasserstein distance approach NIPS 2019
Nonstochastic Multiarmed Bandits with Unrestricted Delays NIPS 2019
Sequential Neural Processes NIPS 2019
RUDDER: Return Decomposition for Delayed Rewards NIPS 2019
Reducing the variance in online optimization by transporting past gradients NIPS 2019
Locality-Sensitive Hashing for f-Divergences: Mutual Information Loss and Beyond NIPS 2019
Energy-Inspired Models: Learning with Sampler-Induced Distributions NIPS 2019
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model NIPS 2019
Sample Adaptive MCMC NIPS 2019
Integrating Markov processes with structural causal modeling enables counterfactual inference in complex systems NIPS 2019
Online sampling from log-concave distributions NIPS 2019