Adnan Darwiche, Professor, University of California Los Angeles
- Dr. Adnan Darwiche
Adnan Darwiche is a professor and former chairman of the computer science department at UCLA. He obtained his M.S. and Ph.D. degrees in computer science from Stanford University in 1989 and 1993, respectively. Professor Darwiche is also a former Editor-in-Chief for the Journal of Artificial Intelligence Research (JAIR) and a AAAI Fellow.
Professor Darwiche's research interests include probabilistic and symbolic reasoning, with their applications to diagnosis, planning, and cognition, in addition to system design and analysis. His teaching interests include graduate and undergraduate courses in Artificial Intelligence, Probabilistic Reasoning, and Symbolic Reasoning.
Professor Darwiche directs the Automated Reasoning Group at UCLA.
Talk topic coming soon
Robert Holte, Professor, University of Alberta
- Dr. Robert Holte
Professor Robert Holte of the Computing Science Department at the University of Alberta is a former editor-in-chief of the journal "Machine Learning" and co-founder and former director of the world-renowned Alberta Innovates Center for Machine Learning (AICML, now known as Amii). His current research is on single-agent heuristic search, with seminal contributions on bidirectional search, methods for predicting the run-time of a search algorithm, and the use of machine learning to create search heuristics. Professor Holte was elected a Fellow of the AAAI in 2011.
Heuristic Search: Something Old and Something New
I begin this talk with a review of long-established results in heuristic search and the early history of bidirectional heuristic search. I then describe a recent breakthrough in bidirectional heuristic search (the MM algorithm), which challenges long-held assumptions and exposes exciting new research directions. Although the technical details in this talk are focused on heuristic search, the general lessons with which I conclude are relevant to researchers in all branches of A.I.
Hugo Larochelle, Research Scientist at Twitter and Assistant Professor at Université de Sherbrooke
- Dr. Hugo Larochelle
Hugo Larochelle is a Research Scientist at Twitter and an Assistant Professor at the Université de Sherbrooke (UdeS). Before 2011, he spent two years in the machine learning group at the University of Toronto, as a postdoctoral fellow under the supervision of Geoffrey Hinton. He obtained his Ph.D. at Université de Montréal, under the supervision of Yoshua Bengio. He is the recipient of two Google Faculty Awards. His professional involvement includes associate editor for the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), member of the editorial board of the Journal of Artificial Intelligence Research (JAIR) and program chair for the International Conference on Learning Representations (ICLR) of 2015, 2016 and 2017.
Talk topic coming soon