Co-occurring keywords · papers mentioning both
Papers
Causal Structure Learning for Dynamical Systems with Theoretical Score Analysis
AAAI 2026
A Continuous-time Tractable Model for Present-biased Agents
AAAI 2025
A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation
AAAI 2025
Simplifying, Stabilizing and Scaling Continuous-time Consistency Models
ICLR 2025
Stabilized Neural Prediction of Potential Outcomes in Continuous Time
ICLR 2025
Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning
NeurIPS 2024
Discrete-state Continuous-time Diffusion for Graph Generation
NeurIPS 2024
Langevin Policy for Safe Reinforcement Learning
ICML 2024
QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers
NeurIPS 2024
State Space Models on Temporal Graphs: A First-Principles Study
NeurIPS 2024
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes
AAAI 2023
Continuous-Time Decision Transformer for Healthcare Applications
AISTATS 2023
Deep Representation Learning for Prediction of Temporal Event Sets in the Continuous Time Domain
ACML 2023
Policy Optimization for Continuous Reinforcement Learning
NeurIPS 2023
q-Learning in Continuous Time
JMLR 2023
Safety Verification of Decision-Tree Policies in Continuous Time
NeurIPS 2023
A Continuous Time Framework for Discrete Denoising Models
NeurIPS 2022
Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems
ICML 2022
Policy Evaluation and Temporal-Difference Learning in Continuous Time and Space: A Martingale Approach
JMLR 2022
Policy Gradient and Actor-Critic Learning in Continuous Time and Space: Theory and Algorithms
JMLR 2022
Continuized Accelerations of Deterministic and Stochastic Gradient Descents, and of Gossip Algorithms
NeurIPS 2021
Continuous-time edge modelling using non-parametric point processes
NeurIPS 2021
Global Convergence of Policy Gradient for Linear-Quadratic Mean-Field Control/Game in Continuous Time
ICML 2021
Improving Continuous-time Conflict Based Search
AAAI 2021
Learning Neural Event Functions for Ordinary Differential Equations
ICLR 2021