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Stochastic Processes

2667 directly classified papers

Papers per year

Papers

Stability Based Generalization Bounds for Exponential Family Langevin Dynamics ICML 2022
Gaussian Process Bandit Optimization with Few Batches AISTATS 2022
Neural Mean Discrepancy for Efficient Out-of-Distribution Detection CVPR 2022
Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning ICML 2022
Three-stage Evolution and Fast Equilibrium for SGD with Non-degerate Critical Points ICML 2022
Counterfactual Temporal Point Processes NIPS 2022
Convergence Rates of Non-Convex Stochastic Gradient Descent Under a Generic Lojasiewicz Condition and Local Smoothness ICML 2022
Hessian-Free High-Resolution Nesterov Acceleration For Sampling ICML 2022
Centroid Approximation for Bootstrap: Improving Particle Quality at Inference ICML 2022
NeuralEF: Deconstructing Kernels by Deep Neural Networks ICML 2022
Robust computation of optimal transport by $β$-potential regularization ACML 2022
Maximum Consensus by Weighted Influences of Monotone Boolean Functions CVPR 2022
Predictive Querying for Autoregressive Neural Sequence Models NIPS 2022
The query complexity of sampling from strongly log-concave distributions in one dimension COLT 2022
Risk-Aware Stochastic Shortest Path AAAI 2022
Global Context With Discrete Diffusion in Vector Quantised Modelling for Image Generation CVPR 2022
Deep Decomposition for Stochastic Normal-Abnormal Transport CVPR 2022
Shaping Noise for Robust Attributions in Neural Stochastic Differential Equations AAAI 2022
Seizing Critical Learning Periods in Federated Learning AAAI 2022
Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data IJCAI 2022
Online Missing Value Imputation and Change Point Detection with the Gaussian Copula AAAI 2022
Recent Advances in Concept Drift Adaptation Methods for Deep Learning IJCAI 2022
Locally Differentially Private Reinforcement Learning for Linear Mixture Markov Decision Processes ACML 2022
Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients NIPS 2022
Learning Fractional White Noises in Neural Stochastic Differential Equations NIPS 2022