UAI 2019

UAI 2019
35th Conference on Uncertainty in Artificial Intelligence (UAI)
Event in series	UAI
Dates	2019/07/22 (iCal) - 2019/07/25
Homepage:	http://auai.org/uai2019/
Submitting link:	https://openreview.net/group?id=auai.org/UAI/2019/Conference
Location
Location:	Tel Aviv, Israel
Loading map... {"minzoom":false,"maxzoom":false,"mappingservice":"leaflet","width":"280px","height":"280px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"wmsoverlay":false,"copycoords":false,"static":false,"zoom":false,"defzoom":14,"layers":["OpenStreetMap"],"overlaylayers":[],"resizable":false,"enablefullscreen":false,"scrollwheelzoom":true,"markercluster":false,"clustermaxzoom":20,"clusterzoomonclick":true,"clustermaxradius":80,"clusterspiderfy":true,"geojson":"","locations":[{"text":"\u003Cb\u003E\u003Cdiv class=\"mw-parser-output\"\u003E\u003C/div\u003E\u003C/b\u003E\u003Chr /\u003E\u003Cdiv class=\"mw-parser-output\"\u003E\u003C/div\u003E","title":"","link":"","lat":32.0852997,"lon":34.7818064,"icon":""}],"imageoverlays":null}
Important dates
Abstracts:	2019/03/04
Submissions:	2019/03/08
Notification:	2019/05/13
Camera ready due:	2019/06/30
Papers:	Submitted 450 / Accepted 118 (26.2 %)
Committees
General chairs:	Amir Globerson, Ricardo Silva
PC chairs:	Ryan Adams, Vibhav Gogate
PC members:	Aahlad Manas Puli, Aaron Schein, Abdelrahman Mohamed, Abhishek Gupta
Table of Contents

Algorithms

• Approximate Inference
• Belief Propagation
• Distributed and Parallel
• Exact Inference
• Graph Theory
• Heuristics
• MCMC methods
• Optimization
• Software and Tools

Application

• Biology
• Databases
• Decision Support
• Diagnosis and Reliability
• Economics
• Education
• General
• Medicine
• Planning and Control
• Privacy and Security
• Robotics
• Sensor Data
• Social Network Analysis
• Speech
• Sustainability and Climate
• Text and Web Data
• User Models
• Vision

Data

• Big Data
• Multivariate
• Relational
• Spatial
• Temporal or Sequential

Learning

• Active Learning
• Classification
• Clustering
• Deep Learning
• General
• Nonparametric Bayes
• Online and Anytime Learning
• Parameter Estimation
• Probabilistic Generative Models
• Ranking
• Recommender Systems
• Regression
• Reinforcement Learning
• Relational Learning
• Scalability
• Semi-Supervised Learning
• Structure Learning
• Structured Prediction
• Theory
• Unsupervised

Methodology

• Bayesian Methods
• Calibration
• Elicitation
• Evaluation
• Human Expertise and Judgement
• Probabilistic Programming

Models

• Bayesian Networks
• Directed Graphical Models
• Dynamic Bayesian Networks
• Markov Decision Processes
• Mixed Graphical Models
• Topic Models
• Undirected Graphical Models

Principles

• Causality
• Cognitive Models
• Decision Theory
• Game Theory
• Information Theory
• Probability Theory
• Statistical Theory

Representation

• Constraints
• Dempster-Shafer
• Fuzzy Logic
• Influence Diagrams
• Non-Probabilistic Frameworks
• Probabilistic