Microsoft Research Machine Learning Summit: April 22-24, 2013

Watch the Machine Learning Summit Sessions on Demand

Videos, as well as presentation slides, are accessible from the agenda below. Also, watch streaming video from the virtual event page.

April 22
19:30	Welcome Drinks Reception Location: Concorde La Fayette
April 23
07:35	Coach Transfer Origin: Concorde La Fayette Destination: Microsoft Le Campus
08:15	Light Breakfast and Registration Location: Arc-en-Ciel
09:00	Opening/Welcome remarks Speaker: Alain Crozier, President, Microsoft France Location: Grand Bleu
09:10	Introductory Talk Speaker: Rick Rashid, Microsoft Research Location: Grand Bleu
09:30	Plenary 1 Keynote: Machines that (Learn to) See Chair: Chris Bishop, Microsoft Research Speaker: Andrew Blake, Microsoft Research
10:30	Break Location: Arc-en-Ciel
Parallel Sessions
11:00	Session 1: Model-Based Machine Learning in Practice Chair: John Bronskill, Microsoft Research Speakers: Thomas Minka, Microsoft Research Location: Rubis
	Session 2: Large Scale Machine Learning Chair: Leon Bottou, Microsoft Research Speakers: Francis Bach, INRIA - Ecole Normale Superieure. Anatoli Juditski, University J. Fourier of Grenoble. Alekh Agarwal, Microsoft Research Location: Grand Bleu
	Session 3: Game Theory Meets Machine Learning Chair: Laurent Massoulie, Microsoft Research-Inria Joint Centre Speakers: Avrim Blum, Carnegie Mellon University. Amos Storkey, University of Edinburgh. Peter Key, Microsoft Research Location: Prairie
12:30	Lunch Location: Arc-en-Ciel
Parallel Sessions
13:30	Session 4: Learning with Millions of Categories Chair: Yann LeCun, New York University Speakers: Samy Bengio, Google. Fei-Fei Li, Stanford University. P. Anandan, Microsoft Research Location: Prairie
	Session 5: Model-Based Machine Learning Tutorial with Infer.NET Chair: John Bronskill, Microsoft Research Speaker: John Guiver, Microsoft Research Location: Rubis
	Session 6: Machine Learning and Social Data Chair: Pushmeet Kohli, Microsoft Research Speakers: Foster Provost, New York University. Sharad Goel, Microsoft Research. Elad Yom-Tov, Microsoft Research Location: Grand Bleu
DemoFest
15:00	Machine Learning for Xbox Live Noam Koenigstein, Microsoft Research, Ulrich Paquet, Microsoft Research Automatic Segmentation of High-grade Brain Tumours by Context-sensitive Decision Forests Darko Zikic, Microsoft Research Teaching Kinect to Read Your Body and Hands Jamie Shotton, Microsoft Research A weakly-supervised approach for building statistical conversational understanding models Dilek Hakkani-Tur, Microsoft Research, Larry Heck, Microsoft Research, Gokhan Tur, Microsoft Research, Asli Celikyilmaz, Microsoft Research Model-based Machine Learning Using Infer.Net John Bronskill, Microsoft Research Real-Time Business Metadata Extraction Dimitrios Lymberopoulos, Microsoft Research Juggling the Jigsaw: Towards Automated Problem Inference from Network Trouble Tickets Navendu Jain, Microsoft Research Querying Human Activities - Social Media Analytics Platform Emre Kiciman, Microsoft Research Probabilistic Programming with Try F# Christophe Poulain, Microsoft Research Location: Arc-en-Ciel
17:00	Plenary 2 Keynote: The Mathematics of Causal Inference: with Reflections on Machine Learning Chair: Tony Hey Speaker: Judea Pearl, University of California Location: Grand Bleu
18:00	Close
18:15	Coach Transfer Origin: Microsoft Le Campus Destination: La Gare Restaurant
19:00	Evening Dinner
22:00	Coach Transfer Origin: La Gare Restaurant Destination: Concorde La Fayette
April 24
07:35	Coach Transfer Origin: Concorde La Fayette Destination: Microsoft Le Campus
08:15	Light Breakfast Location: Arc-en-Ciel
09:00	Plenary 3 Keynote: Data is accumulating at such a rate that there are no longer enough qualified humans to analyse it Chair: Peter Lee, Microsoft Research Speaker: Hermann Hauser, Amadeus Capital Partners Location: Grand Bleu
10:00	Break Location: Arc-en-Ciel
Parallel Sessions
10:30	Session 7: Machine Learning in Healthcare Chair: Silvia Chiappa, Microsoft Research Speakers: David Page, University of Wisconsin-Madison. Antonio Criminisi, Microsoft Research. Bert Kappen, University of Radboud Location: Grand Bleu
	Session 8: Machine Learning for Computer Vision Chair: Sebastian Nowozin, Microsoft Research Speakers: Carsten Rother, Microsoft Research. Tomas Werner, Czech Technical University. Bill Freeman, Massachusetts Institute of Technology Location: Prairie
	Session 9: Causality and Machine Learning Chair: Zoubin Ghahramani, University of Cambridge Speakers: Isabelle Guyon, ChaLearn. Thomas Richardson, University of Washington. Leon Bottou, Microsoft Research. Location: Rubis
12:00	Lunch Location: Arc-en-Ciel
Parallel Sessions
13:00	Session 10: The Future of Probabilistic Programming Chair: Thore Graepel, Microsoft Research Speakers: Andy Gordon, Microsoft Research. Vikash Mansinghka, Massachusetts Institute of Technology. Avi Pfeffer, Charles River Analytics. Christopher Re, University of Wisconsin-Madison Location: Prairie
	Session 11: Machine Learning and Natural Language Chair: Ronan Collobert, Idiap Research Institute Speakers: Steve Renals, University of Edinburgh. Hermann Ney, RWTH Aachen University. Alex Acero, Microsoft Research Location: Grand Bleu
	Session 12: Machine Learning and Crowdsourcing Chair: Yoram Bachrach, Microsoft Research Speakers: Emre Kiciman, Microsoft Research. Eyal Amir, University of Illinois, Urbana-Champaign. David Parkes, Harvard University Location: Rubis
14:30	Break Location: Arc-en-Ciel
15:00	Plenary 4 Keynote: Data Challenges and Opportunities in the Next Decade Chair: Jeannette Wing, Microsoft Research Panelists: Eric Horvitz, Microsoft Research. Michel Cosnard, INRIA. Iain Buchan, Manchester University. Lionel Tarassenko, University of Oxford Location: Grand Bleu
16:00	Closing Remarks Speakers: Chris Bishop, Microsoft Research. Evelyne Viegas, Microsoft Research Location: Grand Bleu
16:10	Close of Day

Watch the Machine Learning Summit Sessions on Demand

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