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← Probability
Mathematics & Optimization
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Probability
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Stochastic Processes
373 directly classified papers
Papers per year
2003: 1
2006: 4
2007: 4
2008: 2
2009: 6
2010: 6
2011: 4
2012: 15
2013: 12
2014: 19
2015: 6
2016: 18
2017: 21
2018: 20
2019: 25
2020: 25
2021: 33
2022: 48
2023: 34
2024: 56
2025: 14
Papers
Exploiting Stochasticity for the Control of Transitions in Gyre Flows
RSS 2018
Fast MCMC Sampling Algorithms on Polytopes
JMLR 2018
Concentration inequalities for empirical processes of linear time series
JMLR 2018
Sparse Exchangeable Graphs and Their Limits via Graphon Processes
JMLR 2018
An $\ell_{\infty}$ Eigenvector Perturbation Bound and Its Application
JMLR 2018
Achieving Optimal Misclassification Proportion in Stochastic Block Models
JMLR 2017
On Markov chain Monte Carlo methods for tall data
JMLR 2017
Tracking the Evolution of Customer Purchase Behavior Segmentation via a Fragmentation-Coagulation Process
IJCAI 2017
Expectation Propagation with Stochastic Kinetic Model in Complex Interaction Systems
NIPS 2017
Log-normality and Skewness of Estimated State/Action Values in Reinforcement Learning
NIPS 2017
Diffusion Approximations for Online Principal Component Estimation and Global Convergence
NIPS 2017
Nonlinear random matrix theory for deep learning
NIPS 2017
A Fast Stochastic Contact Model for Planar Pushing and Grasping: Theory and Experimental Validation
RSS 2017
Bayesian Tensor Regression
JMLR 2017
Uncovering Causality from Multivariate Hawkes Integrated Cumulants
ICML 2017
Asymptotically exact inference in differentiable generative models
AISTATS 2017
Some Properties of Batch Value of Information in the Selection Problem (Extended Abstract)
IJCAI 2017
On the Propagation of Low-Rate Measurement Error to Subgraph Counts in Large Networks
JMLR 2017
Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling
IJCAI 2017
Learning Hawkes Processes from Short Doubly-Censored Event Sequences
ICML 2017
The Mixing of Markov Chains on Linear Extensions in Practice
IJCAI 2017
Uncertainty Decoding with Adaptive Sampling for Noise Robust DNN-Based Acoustic Modeling
INTERSPEECH 2017
Fast Bayesian Intensity Estimation for the Permanental Process
ICML 2017
Magnetic Hamiltonian Monte Carlo
ICML 2017
Fractional Langevin Monte Carlo: Exploring Levy Driven Stochastic Differential Equations for Markov Chain Monte Carlo
ICML 2017
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