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Artificial Intelligence Seminars

Events for 2014

Using Temporal Constraint Reasoning to Improve Self-Management Decision Making

Edmund Durfee, Professor, University of Michigan

Medication Adherence Improvement as a Bandit Problem

Satinder Singh, Professor, University of Michigan

Mind and Data: Learning to Predict Long-term Consequences Efficiently

Rich Sutton, Professor, University of Alberta

Unknowing More The Downside of Information in Multi-Agent Systems

David Sarne, Senior Lecturer, Bar-Ilan University

Beyond Topic: Multi-dimensional Topic Models of Text

Mark Dredze, Assistant Research Professor in Computer Science , Johns Hopkins University

Constructing Space: How a naive agent can learn spatial relationships by observing sensorimotor contingencies

Alexander Terekhov , PostDoc, Institute for Intelligent Systems and Robotics

Public Universities with Billion Dollar Endowments? Challenges and Opportunities in the Acquisition of Open-Domain Fine-Grained Classes from the Web

Marius Pasca, Research Scientist, Google

Understanding Incentives in Social Computing

Alice Gao, PhD Student, Harvard University

Online Learning for Advertising

Kareem Amin, PhD student, University of Pennsylvania

Low-Rank Spectral Learning

Alex Kulesza, Postdoc, University of Michigan

Mediating Perception and Action towards Situated Human-Robot Dialogue

Joyce Chai, Professor, Michigan State University

Cortical prediction markets

David Balduzzi, Senior Researcher, ETH Zürich

Smartphone-enabled Urban Solutions: Mobility On Demand and Mobility On Sale

Shih-Fen Cheng, Assistant Professor, Singapore Management University

Learning Large-Scale Patterns in Complex Networks

Aaron Clauset, Assistant Professor, Department of Computer Science, and the BioFrontiers Institute, University of Colorado, Boulder, and External Faculty, Santa Fe Institute

Robots, Skills, and Symbols

George Konidaris, Assistant Professor of Computer Science and Electrical and Computer Engineering, Duke University

Learning to Learn In Reinforcement Learning

Michael L. Littman, Professor of Computer Science , Brown University

Data-Driven Patient Risk Stratification: Leveraging Data Across Time and Space to Enhance Local Care

Jenna Wiens, Assistant Professor, University of Michigan

Why Label When You Can Compare? Active Constraint Pursuit in Metric Learning and Clustering

Jason Corso, Associate Professor of Electrical Engineering and Computer Science, University of Michigan

Human-Centered Principles and Methods for Designing Robotic Technologies

Bilge Mutlu, Assistant Professor of Computer Science, Psychology, and Industrial Engineering, University of Wisconsin-Madison

Implications of Algorithmic and High-Frequency Trading and From Perception to Cognition: Towards Knowledge Driven Image Understanding

Michael Wellman and Jia Deng, Computer Science & Engineering, University of Michigan

Googles Self-Driving Car

Dmitri Dolgov, Software Lead, Google Self-Driving Cars

The Vision-Language Interface in Machines and Humans

Jeffrey Mark Siskind, Associate Professor, School of Electrical and Computer Engineering, Purdue University

Keyphrase Extraction in Citation Networks: How Do Citation Contexts Help?

Cornelia Caragea, Assistant Professor at the University of North Texas

Deep Learning with UCT-Data for Real-Time Atari Game Play and Advances in Multimodal Deep Representation Learning

Satinder Baveja and Honglak Lee, University of Michigan

On Networks and Behavior: Strategic Inference and Machine Learning

Luis Ortiz, Assistant Professor, Stony Brook University

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