Stochastic Processes

Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants NeurIPS 2022 Random vs. Best-First: Impact of Sampling Strategies on Decision Making in Model-Based Diagnosis AAAI 2022 Rate of Convergence of Polynomial Networks to Gaussian Processes COLT 2022 Re-Analyze Gauss: Bounds for Private Matrix Approximation via Dyson Brownian Motion NeurIPS 2022 Recent Advances in Concept Drift Adaptation Methods for Deep Learning IJCAI 2022 Reconstructing Diffusion Networks from Incomplete Data IJCAI 2022 Recursive Monte Carlo and variational inference with auxiliary variables UAI 2022 Reinforcement Learning with Stochastic Reward Machines AAAI 2022 Residual bootstrap exploration for stochastic linear bandit UAI 2022 Resonance in Weight Space: Covariate Shift Can Drive Divergence of SGD with Momentum ICLR 2022 Revisiting the Effects of Stochasticity for Hamiltonian Samplers ICML 2022 Riemannian Neural SDE: Learning Stochastic Representations on Manifolds NeurIPS 2022 Risk-Aware Stochastic Shortest Path AAAI 2022 Robust and Scalable SDE Learning: A Functional Perspective ICLR 2022 Robust computation of optimal transport by $β$-potential regularization ACML 2022 ROOT-SGD: Sharp Nonasymptotics and Asymptotic Efficiency in a Single Algorithm COLT 2022 Sample Average Approximation for Stochastic Optimization with Dependent Data: Performance Guarantees and Tractability AAAI 2022 Sampling Approximately Low-Rank Ising Models: MCMC meets Variational Methods COLT 2022 Sampling-Based Robust Control of Autonomous Systems with Non-Gaussian Noise AAAI 2022 Sampling from Arbitrary Functions via PSD Models AISTATS 2022 Sampling with Riemannian Hamiltonian Monte Carlo in a Constrained Space NeurIPS 2022 Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification AAAI 2022 Scalable Gaussian-process regression and variable selection using Vecchia approximations JMLR 2022 Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes ICML 2022 Scalable One-Pass Optimisation of High-Dimensional Weight-Update Hyperparameters by Implicit Differentiation ICLR 2022