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