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Stochastic Processes

2667 directly classified papers

Papers per year

Papers

A Data-Augmentation Is Worth A Thousand Samples: Analytical Moments And Sampling-Free Training NIPS 2022
Counterfactual Temporal Point Processes NIPS 2022
Black-Box Generalization: Stability of Zeroth-Order Learning NIPS 2022
Parallel Tempering With a Variational Reference NIPS 2022
Deterministic Langevin Monte Carlo with Normalizing Flows for Bayesian Inference NIPS 2022
Forward-Backward Latent State Inference for Hidden Continuous-Time semi-Markov Chains NIPS 2022
DPSampler: Exact Weighted Sampling Using Dynamic Programming IJCAI 2022
Speech Enhancement with Score-Based Generative Models in the Complex STFT Domain INTERSPEECH 2022
Uncertainty-aware Propagation Structure Reconstruction for Fake News Detection COLING 2022
Social Learning in Non-Stationary Environments ALT 2022
Universally Consistent Online Learning with Arbitrarily Dependent Responses ALT 2022
The Mirror Langevin Algorithm Converges with Vanishing Bias ALT 2022
Mirror Descent Strikes Again: Optimal Stochastic Convex Optimization under Infinite Noise Variance COLT 2022
The Power of Adaptivity in SGD: Self-Tuning Step Sizes with Unbounded Gradients and Affine Variance COLT 2022
Universal Online Learning with Bounded Loss: Reduction to Binary Classification COLT 2022
Rate of Convergence of Polynomial Networks to Gaussian Processes COLT 2022
Dimension-free convergence rates for gradient Langevin dynamics in RKHS COLT 2022
A Sharp Memory-Regret Trade-off for Multi-Pass Streaming Bandits COLT 2022
Adapting Neural Models with Sequential Monte Carlo Dropout CORL 2022
Variational multiple shooting for Bayesian ODEs with Gaussian processes UAI 2022
A mutually exciting latent space Hawkes process model for continuous-time networks UAI 2022
Interpolating between sampling and variational inference with infinite stochastic mixtures UAI 2022
Recursive Monte Carlo and variational inference with auxiliary variables UAI 2022
PathFlow: A normalizing flow generator that finds transition paths UAI 2022
SENTINEL: taming uncertainty with ensemble based distributional reinforcement learning UAI 2022