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Stochastic Processes

2667 directly classified papers

Papers per year

Papers

Contextual Linear Bandits under Noisy Features: Towards Bayesian Oracles AISTATS 2023
Time-Independent Information-Theoretic Generalization Bounds for SGLD NIPS 2023
Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent NIPS 2023
Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality ICML 2023
Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits ICML 2023
Best of Both Worlds Policy Optimization ICML 2023
Deep Stochastic Processes via Functional Markov Transition Operators NIPS 2023
Unified Enhancement of Privacy Bounds for Mixture Mechanisms via $f$-Differential Privacy NIPS 2023
Robust Quickest Change Detection for Unnormalized Models UAI 2023
The Rank-Reduced Kalman Filter: Approximate Dynamical-Low-Rank Filtering In High Dimensions NIPS 2023
Benefits of monotonicity in safe exploration with Gaussian processes UAI 2023
Computational Doob h-transforms for Online Filtering of Discretely Observed Diffusions ICML 2023
A Flexible Diffusion Model ICML 2023
Learning Physical Models that Can Respect Conservation Laws ICML 2023
Wasserstein Distributionally Robust Linear-Quadratic Estimation under Martingale Constraints AISTATS 2023
Local Message Passing on Frustrated Systems UAI 2023
Learning Hidden Markov Models When the Locations of Missing Observations are Unknown ICML 2023
Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks NIPS 2023
Finite time analysis of temporal difference learning with linear function approximation: Tail averaging and regularisation AISTATS 2023
A Solution to Co-occurence Bias: Attributes Disentanglement via Mutual Information Minimization for Pedestrian Attribute Recognition IJCAI 2023
Hawkes Process Based on Controlled Differential Equations IJCAI 2023
One-Shot Compression of Large Edge-Exchangeable Graphs using Bits-Back Coding ICML 2023
Langevin Thompson Sampling with Logarithmic Communication: Bandits and Reinforcement Learning ICML 2023
Confidence-Aware Personalized Federated Learning via Variational Expectation Maximization CVPR 2023
SCADE: NeRFs from Space Carving With Ambiguity-Aware Depth Estimates CVPR 2023