Stochastic Processes

Interpolating between sampling and variational inference with infinite stochastic mixtures UAI 2022 Invasion Dynamics in the Biased Voter Process IJCAI 2022 Investigating phonetic convergence of laughter in conversation Interspeech 2022 JB132 submission to the SIGMORPHON 2022 Shared Task 3 on Morphological Segmentation NAACL 2022 Kernel Autocovariance Operators of Stationary Processes: Estimation and Convergence JMLR 2022 Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process Regression with Matérn Correlations JMLR 2022 Knowledge Removal in Sampling-based Bayesian Inference ICLR 2022 Lagrangian manifold Monte Carlo on Monge patches AISTATS 2022 Langevin Autoencoders for Learning Deep Latent Variable Models NeurIPS 2022 Large Batch Experience Replay ICML 2022 Learned Simulators for Turbulence ICLR 2022 Learning-based Moving Horizon Estimation through Differentiable Convex Optimization Layers L4DC 2022 Learning Chaotic Dynamics in Dissipative Systems NeurIPS 2022 Learning Curves for Gaussian Process Regression with Power-Law Priors and Targets ICLR 2022 Learning Expected Emphatic Traces for Deep RL AAAI 2022 Learning Fractional White Noises in Neural Stochastic Differential Equations NeurIPS 2022 Learning Infinite-Horizon Average-Reward Restless Multi-Action Bandits via Index Awareness NeurIPS 2022 Learning Neural Contextual Bandits through Perturbed Rewards ICLR 2022 Learning Optimal Flows for Non-Equilibrium Importance Sampling NeurIPS 2022 Learning Rates as a Function of Batch Size: A Random Matrix Theory Approach to Neural Network Training JMLR 2022 Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks ICLR 2022 Left Heavy Tails and the Effectiveness of the Policy and Value Networks in DNN-based best-first search for Sokoban Planning NeurIPS 2022 Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory ICLR 2022 Local-Global MCMC kernels: the best of both worlds NeurIPS 2022 Locally Differentially Private Reinforcement Learning for Linear Mixture Markov Decision Processes ACML 2022