conftrace_

stochastic process

388 papers

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SP

Co-occurring keywords

bayesian inference (1907) regret bound (1926) variational inference (2069) markov chain monte carlo (725) online learning (1777) multi-armed bandit (1098) gaussian process (1200) probabilistic modeling (852) markov chain (207) markov decision process (790)

Papers

Contrastive Conditional Neural Processes CVPR 2022
Dynamic Bandits with Temporal Structure IJCAI 2022
Stochastic Online Learning with Feedback Graphs: Finite-Time and Asymptotic Optimality NIPS 2022
Universal Online Learning with Bounded Loss: Reduction to Binary Classification COLT 2022
Modelling the Dynamics of Regret Minimization in Large Agent Populations: a Master Equation Approach IJCAI 2022
Nearly Optimal Catoni’s M-estimator for Infinite Variance ICML 2022
Nonparametric Relational Models with Superrectangulation AISTATS 2022
On Linear Model with Markov Signal Priors AISTATS 2022
Invasion Dynamics in the Biased Voter Process IJCAI 2022
Reinforcement Learning with Stochastic Reward Machines AAAI 2022
Signature Moments to Characterize Laws of Stochastic Processes JMLR 2022
Fast Bayesian Estimation of Point Process Intensity as Function of Covariates NIPS 2022
Analysis of Stochastic Processes through Replay Buffers ICML 2022
Learning Expressive Meta-Representations with Mixture of Expert Neural Processes NIPS 2022
Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning ICML 2022
Deceptive Decision-Making under Uncertainty AAAI 2022
Learning and Covering Sums of Independent Random Variables with Unbounded Support NIPS 2022
A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning NIPS 2022
On the Theoretical Properties of Noise Correlation in Stochastic Optimization NIPS 2022
Stochastic model for sunk cost bias UAI 2021
Graph reparameterizations for enabling 1000+ Monte Carlo iterations in Bayesian deep neural networks UAI 2021
Functional Variational Inference based on Stochastic Process Generators NIPS 2021
Random probabilistic circuits UAI 2021
Scaling up Continuous-Time Markov Chains Helps Resolve Underspecification NIPS 2021
Noisy Adaptation Generates Lévy Flights in Attractor Neural Networks NIPS 2021