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Welcome to the MACHINE LEARNING and CAUSALITY teleconference seminars, an activity of the Causality Workbench animated by Nicolas Brodu, Dominik Janzing, Isabelle Guyon, and Michele Sebag. The times indicated are PARIS time. We usually meet on Thursdays. The language is English if non-French speaking people join, otherwise it is French. Please join our mailing list to be notified of future events. You may also be interested by our spin-off project on Complex Systems, how to investigate them and their applications. Participating to our conferences is as simple as opening a link in a web browser, and optionally calling a phone number. See the detailed instructions for more information.


2010

- Date Speaker / Presentateur Article Slides/ Transparents Notes Time / Horaire (PARIS time)
Thursday 11 February 2010 Mingzhou Ding Analyzing Coherent Brain Networks with Granger Causality Slides and material Replay of the presentation 17h-18h
Wednesday 24 February 2010 Axel Kleidon Thermodynamics of the Earth system - Trying to get "order" into the way the Earth system does its work Slides and material Replay of the presentation 16h
TBA Eugene Tuv TBA
Early 2010 David Danks TBA


We started on the theme of model selection and now have a series of seminars on causality. Please send us new suggestions at: reading at clopinet dot com.

Nous avons commence sur le theme de selection de modele et nous abordons maintenant le probleme de l'inference de la causalite. La bible c'est http://bayes.cs.ucla.edu/BOOK-2K/book-toc.html le bouquin de Pearl. Nous sommes toujours ouverts a de nouvelles propositions.

FALL 2009

- Date Speaker / Presentateur Article Slides/ Transparents Notes Time / Horaire (PARIS time)
Monday 21 September 2009 Mathias Adankon Semi-supervised learning for SVM and its variants Slides and material 20h-21h
Thursday 8 October 2009 Dominik Janzing Telling cause from effect based on high-dimensional observations Slides and material Replay of the presentation 17h
Thursday 15 October 2009 Guillaume Deffuant Approximating viability kernels with support vector machines Slides and material 17h-18h
Thursday 22 October 2009 Mingzhou Ding Analyzing Coherent Brain Networks with Granger Causality Slides and material Postponed 17h-18h
Thursday 3 December 2009 Isabelle Guyon Presentation of the active learning Challenge Slides and material Replay of the presentation 17h-18h


WINTER/SPRING 2009

- Date Speaker / Presentateur Article Slides/ Transparents Notes Time / Horaire (PARIS time)
Wednesday 21 January 2009 Richard Scheines Causal Structure Search: Philosophical Foundations and Problems Slides and material Video of the presentation 17h-18h
Thursday 29 January 2009 Arthur Gretton Unconditional kernel independance tests Slides and material Video of the presentation 17h-18h
Friday 6 February 2009 Kenji Fukumizu Conditional kernel independance tests Slides and material Video of the presentation 0h-1h (8am Tokyo, 6pm (Thursday 5) ET)
Thursday 12 February 2009 Joris Mooij and Dominik Janzing Cause effect pairs: Distinguishing between cause and effect Slides and material Video of the presentation 17h-18h
Thursday 19 February 2009 Kun Zhang Distinguishing Causes from Effects using Nonlinear Acyclic Causal Models Slides and material Video of the presentation 17h-18h
Thursday 26 February 2009 Nicolas Brodu Decisional States Slides and material Video of the presentation 17h-18h
Thursday 5 March 2009 Jerry Jenkins SIGNET: A Boolean network modeling a biological signaling network Slides and material Video of the presentation 17h-18h
Thursday 12 march 2009 Mehreen Saeed The Use of Bernoulli Mixture Models for Identifying Corners of a Hypercube and Extracting Boolean Rules From Data Slides and material Video of the presentation 16h-17h
Thursday 19 march 2009 Vincent Lemaire KDD cup 2009: Fast scoring on a Large Database Slides and material 16h-17h
Thursday 2 april 2009 Jonas Peters Detecting the arrow of time with independent noise models Slides and material Video of the presentation 17h-18h
Thursday 16 april 2009 Denver Dash Learning Real-World Causal Models from Time-Series Data Slides and material 17h-18h
Thursday 23 april 2009 Philip Dawid Beware of the DAG! Slides and material Video of the presentation 17h-18h
Thursday 14 may 2009 Patrik Hoyer STEMMATOLOGY: causal discovery of relationships between documents Slides and material Video of the presentation 17h-18h
Thursday 21 may 2009 Isabelle Guyon Overview of the LOCANET task (Pot-luck challenge, NIPS 2008) Slides and material 17h-18h
Thursday 28 may 2009 Changzang Wang LOCANET: Discover Local Causal Network around a Target with a Given Depth Slides and material Video of the presentation 17h-18h
Thursday 4 june 2009 Laura Brown and Ioannis Tsamardinos LOCANET: Learning Local Regions of Causal Networks Slides and material Video of the presentation 17h-18h
Thursday 11 june 2009 Ernest Mwebaze LOCANET: Fast Committee-Based Structure Learning Slides and material 17h-18h
Thursday 18 june 2009 Radhakrishnan Nagarajan On Granger Causality and Transcriptional Networks Abstract 17h-18h


PREVIOUS YEARS

- Date Speaker / Presentateur Article Slides/ Transparents Notes Time / Horaire (PARIS time)
18 mai 2006 Isabelle Guyon Article WCCI Transparents Premier groupe de lecture, 18 mai 2006 11h-12h
8 juin 2006 Yves Grandvalet Article JMLR Article court NIPS Second groupe de lecture, 8 juin 2006 11h-12h
29 juin 2006 Massih Amini Langford JMLR05 Troisième groupe de lecture, 29 juin 200611h-12h
13 septembre 2006 O. Bousquet & A. Elisseeff Stability and Generalization à propos de l'article de Poggio et al. Quatrième groupe de lecture, 13 septembre 200616h15-17h30
28 septembre 2006 Stéphane Canu Least Angle Regression Transparents 16h15-17h30
Jeudi 19 octobre 2006 A. Elisseeff Tutorial sur la causalite New slides ppt 16h15-17h30
Vendredi 10 novembre 2006 K. Bennett Model Selection via Bilevel Optimization New slides ppt 16h15-17h30
Jeudi 16 novembre 2006 I. Guyon Feature selection and Causality Transparents ppt 16h15-17h30
Jeudi 11 Janvier 2007 Philippe Leray Reseaux Bayesiens: Apprentissage et modelisation de systemes complexes Transparents 16h15-17h30
Jeudi 25 Janvier 2007 Pierre Geurts et Florence d'Alché Kernelizing the Output of Tree-Based Methods Transparents 16h15-17h30
Jeudi 15 Fevrier 2007 Olivier Chapelle Multi-class Feature Selection with Support Vector Machines TBA 16h15-17h30
Jeudi 15 Mars 2007 Yoshua Bengio Vers l'intelligence artificielle par l'apprentissage machine: nécessité de généraliser de manière non-locale avec des architectures profondes. Chapitre de livre avec Y. LeCun Y. Bengio and Y. Le Cun, Scaling Learning Algorithms towards AI., In Bottou, L., Chapelle, O., DeCoste, D., & Weston, J., editors, Large Scale Kernel Machines, MIT Press, 2007. Transparents 16h15-17h30
Jeudi 29 Mars 2007 Olivier Bousquet Measuring Statistical Dependence with Hilbert-Schmidt Norms, Arthur Gretton, Olivier Bousquet, Alex Smola and Bernhard Schölkopf slides (from A.Smola) 16h15-17h30
Reported Joaquin Quiñonero Candela Tutorial on the covariate shift problem 16h15-17h30
Jeudi 24 Mai 2007 Constantin Aliferis Local and global Bayesian network learning methods. Aliferis, CF, Tsamardinos, I,Statnikov,A HITON: a novel Markov Blanket algorithm for optimal variable selection. AMIA Annu Symp Proc,21-5,2003.Techreport.Supplement. 16h15-17h30
Jeudi 15 Novembre 2007 Marc Boullé Recherche d'une représentation des données efficace pour la fouille des grandes bases de données Transparents These16h30-17h30
Jeudi 22 Novembre 2007 Gavin Cawley Preventing Over-Fitting during Model Selection via Bayesian Regularisation of the Hyper-Parameters JMLR paper Transparents 16h30-17h30
Jeudi 31 Janvier 2008 Isabelle Guyon Causation and Prediction Challenge Transparents/Slides Video Youtube 16h30-17h30
Thursday 13 March 2008 Teed Rockwell The Metaphysics of Causation Slides Reported because of technical problems 16h30-17h30 (*Summer time* in US: 8:30AM PT, 11:30AM ET)
Thursday 20 March 2008 Peter Spirtes Recent Advances in Linear, but Non-Gaussian Causal Discovery First reading (Shimizu paper) - - PDF slides Recording of talk 16h30-17h30 (in US: 8:30AM PT, 11:30AM ET)
Thursday 27 March 2008 Alessio Moneta Causal Search in Time Series Econometrics PDF slides Recording of talk 16h30-17h30 (in US: 8:30AM PT, 11:30AM ET)
Friday 4 April 2008 Teed Rockwell The Metaphysics of Causation Slides Recording of talk 16h30-17h30 Paris (*Summer time* in Europe; 7:30am PT, 10:30am ET)
Thursday 17 April 2008 Jean-Philippe Pellet Using Markov Blankets for Causal Structure Learning Slides Recording of talk 16h30-17h30 (in US: 7:30AM PT, 10:30AM ET)
Thursday 24 April 2008 Dominik Janzing Justification of new causal inference rules via the algorithmic Markov condition Slides Recording of talk 16h30-17h30
Thursday 1 May 2008 No reading group
Thursday 8 May 2008 Ilya Shpitser and Judea Pearl Complete Identification Methods for the Causal Hierarchy Slides Recording of talk 17h00-18h00
Thursday 15 May 2008 Dimitris Margaritis Exploiting Pearl's Theorems for Graphical Model Structure Discovery Slides Recording of talk 16h30-17h30
Thursday 22 May 2008 Karen Sachs Causal Protein-Signaling Networks Derived from Multiparameter Single-Cell Data Slides Recording of talk 16h30-17h30
Thursday 29 May 2008 Ioannis Tsamardinos Towards Controlling the False Discovery Rate in Bayesian Network Learning Slides Recording of talk 16h30-17h30
*Monday* 8 September 2008 Isabelle Guyon Results of the WCCI 2008 causality challenge Slides and material Recording of talk. The video taken at the Institut des systemes complexes not yet available16h30-17h30
Thursday 18 Septembre 2008 Nicolas Brodu Emergence and causality: review and formal implications of twin issues Slides and material Recording of talk 17h-18h
Thursday 25 Septembre 2008 Isabelle Guyon Causality challenge #2: Pot-luck Slides and materialVideo of the presentation 17h-18h
Thursday 2 October 2008 Emmanuel Faure Active Machine Learning for Embryogenesis Slides and material Recording of talk (French)17h-18h
Thursday 9 October 2008 Jianxin Yin Partial orientation and local structural learning of causal networks for predictionSlides and materialVideo of the presentation 16h30-17h30
Thursday 16 October 2008 Jan Lemeire Evaluation of causal discovery with Bayesian networks with the principle of Kolmogorov Minimal Sufficient Statistic. Slides and materialVideo of the presentation 16h40-18h
Thursday 6 November 2008 Guido Nolte The Phase Slope Index: Estimating the causal direction from time series robust to correlated and colored background noise Slides and material Video of the presentation 17h30-18h30
Thursday 13 November 2008 Jin Tian Markov Properties for Linear Causal Models with Correlated Errors Slides and materialVideo of the presentation 17h-18h
Thursday 4 December 2008 Frederick Eberhardt Strategic Experimentation Slides and material Video of the presentation 17h-18h
TBA Tom Griffiths
TBA Kevin Korb (with R. O'Donnell and L. Allison)Causal KL: Evaluating Causal Discovery
TBA Patrik Hoyer


This project is supported by the National Science Fundation under Grant N0 ECCS-0725746. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.