Learning Graphical Models
A graphical model or probabilistic graphical model (PGM) or structured probabilistic model is a probabilistic model for which a graph expresses the conditional dependence structure between random variables. They are commonly used in probability theory, statistics—particularly Bayesian statistics—and machine learning. (Wikipedia)
Country:
- North America > United States > California > Los Angeles County > Long Beach (0.04)
- North America > United States > Hawaii > Honolulu County > Honolulu (0.04)
- North America > Canada > Quebec > Montreal (0.04)
- (14 more...)
Technology:
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Reinforcement Learning (0.93)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Optimization (0.67)
- Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models > Undirected Networks > Markov Models (0.67)
Stopping Bayesian Optimization with Probabilistic Regret Bounds
Neural Information Processing Systems
Monte Carlo stopping rules in a manner that is both sample efficient and robust to estimation error.
Country:
- Europe > Italy > Friuli Venezia Giulia > Trieste Province > Trieste (0.04)
- North America > United States (0.04)
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
- (4 more...)
Technology:
Technology:
Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement Learning Qi Wang 1, 2 Junming Y ang 3 Y unbo Wang
Neural Information Processing Systems
Training offline RL models using visual inputs poses two significant challenges, i.e.,
Industry:
- Education (1.00)
- Health & Medicine (0.68)
Technology:
Country:
- Europe > Denmark (0.05)
- North America > United States > Massachusetts > Hampshire County > Amherst (0.04)
Technology:
- Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning (0.93)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Uncertainty > Bayesian Inference (0.68)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.46)
- Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models > Directed Networks > Bayesian Learning (0.46)
Country:
- North America > United States > Minnesota > Hennepin County > Minneapolis (0.14)
- North America > Canada > Ontario > Toronto (0.14)
- Asia > Middle East > Jordan (0.04)
- (7 more...)
Technology:
- Information Technology > Artificial Intelligence > Representation & Reasoning > Uncertainty > Bayesian Inference (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models > Directed Networks > Bayesian Learning (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.94)
Country:
- North America > United States > California > San Francisco County > San Francisco (0.14)
- North America > Canada > Quebec > Montreal (0.04)
- Europe > Switzerland > Zürich > Zürich (0.04)
COOM: A Game Benchmark for Continual Reinforcement Learning Tristan Tomilin 1 Meng Fang
Neural Information Processing Systems
RL benchmark tailored for embodied pixel-based RL.
Country:
- Europe > United Kingdom (0.04)
- Europe > Netherlands > North Brabant > Eindhoven (0.04)
Industry:
- Leisure & Entertainment > Games > Computer Games (0.93)
- Education (0.68)
Technology:
Dynamic Conditional Optimal Transport through Simulation-Free Flows
Neural Information Processing Systems
One way to achieve this is through triangular mappings [Baptista et al., 2020, Spantini et al., 2022],
Country:
- North America > United States > California > Orange County > Irvine (0.04)
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
- Europe > Italy (0.04)
Technology:
- Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning (0.46)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Uncertainty (0.45)
- Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models (0.45)
Country:
- North America > United States (0.04)
- Europe > Italy > Calabria > Catanzaro Province > Catanzaro (0.04)
Technology:
- Information Technology > Artificial Intelligence > Representation & Reasoning (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models (0.68)
- (2 more...)