Workshop
|
Fri 6:05
|
Invited Talk 1: Tensor Networks as a Data Structure in Probabilistic Modeling and for Learning Dynamical Laws from Data
Jens Eisert
|
|
Poster
|
Wed 9:00
|
Task-Robust Model-Agnostic Meta-Learning
Liam Collins · Aryan Mokhtari · Sanjay Shakkottai
|
|
Workshop
|
|
MAster of PuPpets: Model-Agnostic Meta-Learning via Pre-trained Parameters for Natural Language Generation
ChienFu Lin
|
|
Poster
|
Wed 9:00
|
Personalized Federated Learning with Theoretical Guarantees: A Model-Agnostic Meta-Learning Approach
Alireza Fallah · Aryan Mokhtari · Asuman Ozdaglar
|
|
Workshop
|
|
Poster: Chaining Behaviors from Data with Model-Free Reinforcement Learning
|
|
Workshop
|
|
Poster: Model-Based Reinforcement Learning via Latent-Space Collocation
|
|
Workshop
|
Fri 14:30
|
Invited talk: Anusha Nagabandi "Model-based Deep Reinforcement Learning for Robotic Systems"
Anusha Nagabandi
|
|
Workshop
|
Sat 9:50
|
Contributed Talk 2: Chaining Behaviors from Data with Model-Free Reinforcement Learning
Avi Singh
|
|
Workshop
|
|
Continual Model-Based Reinforcement Learning with Hypernetworks
Yizhou Huang
|
|
Workshop
|
|
Model-Agnostic Graph Regularization for Few-Shot Learning
Ethan Shen
|
|
Workshop
|
|
Poster: Continual Model-Based Reinforcement Learning withHypernetworks
|
|
Workshop
|
|
Poster: Model-Based Reinforcement Learning: A Compressed Survey
|
|