stochastic process

Adaptive Data Analysis with Correlated Observations ICML 2022 Analysis of Langevin Monte Carlo from Poincare to Log-Sobolev COLT 2022 Analysis of Stochastic Processes through Replay Buffers ICML 2022 A Smart Trader for Portfolio Management based on Normalizing Flows IJCAI 2022 A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning NeurIPS 2022 Automatic Differentiation of Programs with Discrete Randomness NeurIPS 2022 Competing Mutual Information Constraints with Stochastic Competition-Based Activations for Learning Diversified Representations AAAI 2022 Conformal Frequency Estimation with Sketched Data NeurIPS 2022 Contrastive Conditional Neural Processes CVPR 2022 Deceptive Decision-Making under Uncertainty AAAI 2022 Decoupling Local and Global Representations of Time Series AISTATS 2022 Deterministic policy gradient: Convergence analysis UAI 2022 Dynamic Bandits with Temporal Structure IJCAI 2022 Eliminating Sharp Minima from SGD with Truncated Heavy-tailed Noise ICLR 2022 Fast Bayesian Estimation of Point Process Intensity as Function of Covariates NeurIPS 2022 Forward-Backward Latent State Inference for Hidden Continuous-Time semi-Markov Chains NeurIPS 2022 Hitting times for continuous-time imprecise-Markov chains UAI 2022 Interpolating between sampling and variational inference with infinite stochastic mixtures UAI 2022 Interval-censored Hawkes processes JMLR 2022 Invasion Dynamics in the Biased Voter Process IJCAI 2022 Learning and Covering Sums of Independent Random Variables with Unbounded Support NeurIPS 2022 Learning Expressive Meta-Representations with Mixture of Expert Neural Processes NeurIPS 2022 Learning Mixtures of Linear Dynamical Systems ICML 2022 Modelling the Dynamics of Regret Minimization in Large Agent Populations: a Master Equation Approach IJCAI 2022 Multi-Task Processes ICLR 2022