Stochastic Processes
2,948 papers
Papers per year
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17
18
30
36
37
50
56
60
77
132
163
224
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329
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410
387
253
74
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Papers
Dynamic Bandits with Temporal Structure
IJCAI 2022
Dynamic Topic Models for Temporal Document Networks
ICML 2022
Efficiency Ordering of Stochastic Gradient Descent
NeurIPS 2022
Efficient Approximate Inference for Stationary Kernel on Frequency Domain
ICML 2022
Efficient Inference for Dynamic Flexible Interactions of Neural Populations
JMLR 2022
Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting
JMLR 2022
Eliminating Sharp Minima from SGD with Truncated Heavy-tailed Noise
ICLR 2022
End-to-End Learning of Probabilistic Hierarchies on Graphs
ICLR 2022
Equality Constraints in Linear Hawkes Processes
CLeaR 2022
Estimators of Entropy and Information via Inference in Probabilistic Models
AISTATS 2022
Experience Replay with Likelihood-free Importance Weights
L4DC 2022
Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods
NeurIPS 2022
Fast and Robust Online Inference with Stochastic Gradient Descent via Random Scaling
AAAI 2022
Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes
AISTATS 2022
Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization
AISTATS 2022
Fixed-Distance Hamiltonian Monte Carlo
NeurIPS 2022
Forward-Backward Latent State Inference for Hidden Continuous-Time semi-Markov Chains
NeurIPS 2022
Free Probability for predicting the performance of feed-forward fully connected neural networks
NeurIPS 2022
Function-space Inference with Sparse Implicit Processes
ICML 2022
Future gradient descent for adapting the temporal shifting data distribution in online recommendation systems
UAI 2022
Gaussian Process Bandit Optimization with Few Batches
AISTATS 2022
Generalization Bounds for Gradient Methods via Discrete and Continuous Prior
NeurIPS 2022
Generalization Bounds for Stochastic Gradient Descent via Localized ε-Covers
NeurIPS 2022
Generalization Bounds using Lower Tail Exponents in Stochastic Optimizers
ICML 2022
Generalizing Gaussian Smoothing for Random Search
ICML 2022