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Stochastic Processes

2667 directly classified papers

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Reconciling Modern Deep Learning with Traditional Optimization Analyses: The Intrinsic Learning Rate NIPS 2020
Optimal Variance Control of the Score-Function Gradient Estimator for Importance-Weighted Bounds NIPS 2020
Collaborative Exploration in Stochastic Multi-Player Bandits ACML 2020
Simultaneous Inference for Massive Data: Distributed Bootstrap ICML 2020
Sundial: Fault-tolerant Clock Synchronization for Datacenters OSDI 2020
Slice Sampling for General Completely Random Measures UAI 2020
Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation UAI 2020
Generalized Tsallis Entropy Reinforcement Learning and Its Application to Soft Mobile Robots RSS 2020
Time-Bounded Mission Planning in Time-Varying Domains with Semi-MDPs and Gaussian Processes CORL 2020
Primal Dual Interpretation of the Proximal Stochastic Gradient Langevin Algorithm NIPS 2020
Non-Stationary Delayed Bandits with Intermediate Observations ICML 2020
Stochasticity of Deterministic Gradient Descent: Large Learning Rate for Multiscale Objective Function NIPS 2020
Stochastic Gradient Descent in Correlated Settings: A Study on Gaussian Processes NIPS 2020
Delay and Cooperation in Nonstochastic Linear Bandits NIPS 2020
Stochastic Optimization for Performative Prediction NIPS 2020
Decision-Making with Auto-Encoding Variational Bayes NIPS 2020
Statistical Efficiency of Thompson Sampling for Combinatorial Semi-Bandits NIPS 2020
How Does Noise Help Robustness? Explanation and Exploration under the Neural SDE Framework CVPR 2020
Rethinking Learnable Tree Filter for Generic Feature Transform NIPS 2020
Deep Learning Tubes for Tube MPC RSS 2020
Graph-Dependent Implicit Regularisation for Distributed Stochastic Subgradient Descent JMLR 2020
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows AAAI 2020
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates ICML 2020
Tweedie-Hawkes Processes: Interpreting the Phenomena of Outbreaks AAAI 2020
Black-Box Variational Inference as a Parametric Approximation to Langevin Dynamics ICML 2020