Stochastic Processes
2,948 papers
Papers per year
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30
36
37
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60
77
132
163
224
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329
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410
387
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Papers
CHIP: A Hawkes Process Model for Continuous-time Networks with Scalable and Consistent Estimation
NeurIPS 2020
Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies
ICML 2020
Collaborative Exploration in Stochastic Multi-Player Bandits
ACML 2020
Collapsing Bandits and Their Application to Public Health Intervention
NeurIPS 2020
Comparing Machine Learning Techniques for Blood Glucose Forecasting Using Free-living and Patient Generated Data
MLHC 2020
Continuous-Time Birth-Death MCMC for Bayesian Regression Tree Models
JMLR 2020
Convergence Rates for the Stochastic Gradient Descent Method for Non-Convex Objective Functions
JMLR 2020
Cooperative Multi-Agent Bandits with Heavy Tails
ICML 2020
Cooperative Online Learning: Keeping your Neighbors Updated
ALT 2020
Correspondence-Free Material Reconstruction using Sparse Surface Constraints
CVPR 2020
Corruption-Tolerant Gaussian Process Bandit Optimization
AISTATS 2020
Counterfactual Off-Policy Training for Neural Dialogue Generation
EMNLP 2020
Decentralized Langevin Dynamics for Bayesian Learning
NeurIPS 2020
Decentralized TD Tracking with Linear Function Approximation and its Finite-Time Analysis
NeurIPS 2020
Decision-Making with Auto-Encoding Variational Bayes
NeurIPS 2020
Deep Learning Tubes for Tube MPC
RSS 2020
Deep Time-Stream Framework for Click-through Rate Prediction by Tracking Interest Evolution
AAAI 2020
Delay and Cooperation in Nonstochastic Linear Bandits
NeurIPS 2020
Demystifying Orthogonal Monte Carlo and Beyond
NeurIPS 2020
Depth Uncertainty in Neural Networks
NeurIPS 2020
Detecting Extrapolation with Local Ensembles
ICLR 2020
Discriminative Particle Filter Reinforcement Learning for Complex Partial observations
ICLR 2020
Distributed, partially collapsed MCMC for Bayesian Nonparametrics
AISTATS 2020
Divide, Conquer, and Combine: a New Inference Strategy for Probabilistic Programs with Stochastic Support
ICML 2020
Do you have the right scissors? Tailoring Pre-trained Language Models via Monte-Carlo Methods
ACL 2020