continuous time

Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation ICML 2021 Meta Learning in the Continuous Time Limit AISTATS 2021 Neural Rough Differential Equations for Long Time Series ICML 2021 Neural Spatio-Temporal Point Processes ICLR 2021 Policy Analysis using Synthetic Controls in Continuous-Time ICML 2021 Value Iteration in Continuous Actions, States and Time ICML 2021 Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications NeurIPS 2020 Group-Fair Online Allocation in Continuous Time NeurIPS 2020 Hamilton-Jacobi-Bellman Equations for Q-Learning in Continuous Time L4DC 2020 Infinity Learning: Learning Markov Chains from Aggregate Steady-State Observations AAAI 2020 POMDPs in Continuous Time and Discrete Spaces NeurIPS 2020 Reinforcement Learning in Continuous Time and Space: A Stochastic Control Approach JMLR 2020 Transformation of ReLU-based recurrent neural networks from discrete-time to continuous-time ICML 2020 Automated Verification of Social Laws for Continuous Time Multi-Robot Systems AAAI 2019 Continuous-time Models for Stochastic Optimization Algorithms NeurIPS 2019 Imputing Missing Events in Continuous-Time Event Streams ICML 2019 Making Deep Q-learning methods robust to time discretization ICML 2019 Multi-Agent Pathfinding with Continuous Time IJCAI 2019 Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces NeurIPS 2018 Learning Continuous Time Bayesian Networks in Non-stationary Domains IJCAI 2018 Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions NeurIPS 2016 Accelerated Mirror Descent in Continuous and Discrete Time NeurIPS 2015 Efficient Learning of Continuous-Time Hidden Markov Models for Disease Progression NeurIPS 2015 Approximate inference in latent Gaussian-Markov models from continuous time observations NeurIPS 2013 Scalable Influence Estimation in Continuous-Time Diffusion Networks NeurIPS 2013