Stochastic Processes
2,948 papers
Papers per year
4
1
2
9
11
17
18
30
36
37
50
56
60
77
132
163
224
258
329
310
410
387
253
74
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Papers
Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards
NeurIPS 2020
Optimal Variance Control of the Score-Function Gradient Estimator for Importance-Weighted Bounds
NeurIPS 2020
Option Discovery in the Absence of Rewards with Manifold Analysis
ICML 2020
PEP: Parameter Ensembling by Perturbation
NeurIPS 2020
Perception of Privacy Measured in the Crowd — Paired Comparison on the Effect of Background Noises
Interspeech 2020
Posterior sampling strategies based on discretized stochastic differential equations for machine learning applications
JMLR 2020
Potential Driven Reinforcement Learning for Hard Exploration Tasks
IJCAI 2020
Practical Nonisotropic Monte Carlo Sampling in High Dimensions via Determinantal Point Processes
AISTATS 2020
Primal Dual Interpretation of the Proximal Stochastic Gradient Langevin Algorithm
NeurIPS 2020
Probabilistic Safety for Bayesian Neural Networks
UAI 2020
Projected Stein Variational Gradient Descent
NeurIPS 2020
Prophets, Secretaries, and Maximizing the Probability of Choosing the Best
AISTATS 2020
Quantitative Propagation of Chaos for SGD in Wide Neural Networks
NeurIPS 2020
Random Reshuffling is Not Always Better
NeurIPS 2020
Reasoning about Uncertainties in Discrete-Time Dynamical Systems using Polynomial Forms.
NeurIPS 2020
Reconciling Modern Deep Learning with Traditional Optimization Analyses: The Intrinsic Learning Rate
NeurIPS 2020
Reinforcement Learning in Continuous Time and Space: A Stochastic Control Approach
JMLR 2020
Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound
ICML 2020
Reinforcement Learning When All Actions Are Not Always Available
AAAI 2020
Replica-Exchange Nos\'e-Hoover Dynamics for Bayesian Learning on Large Datasets
NeurIPS 2020
Restarted Bayesian Online Change-point Detector achieves Optimal Detection Delay
ICML 2020
Rethinking Learnable Tree Filter for Generic Feature Transform
NeurIPS 2020
Risk Bounds for Reservoir Computing
JMLR 2020
Robust, Accurate Stochastic Optimization for Variational Inference
NeurIPS 2020
Robust Algorithms for Online k-means Clustering
ALT 2020