Machine Learning Work Shop-Session 1 – Leon Bottou – “Counterfactual Measurements and Learning Systems”

This work shows how to leverage causal inference to understand the behavior of com- plex learning systems interacting with their environment and predict the consequences of changes to the system. Such predictions allow both humans and algorithms to select changes that improve both the short-term and long-term performance of such systems. This work is illustrated by experiments carried out on the ad placement system associated with the Bing search engine.

Speaker Details

Léon Bottou received the Diplôme d’Ingénieur de l’École Polytechnique (X84) in 1987, the Magistère de Mathématiques
Fondamentales et Appliquées et d’Informatique from École Normale Superieure in 1988, the Diplôme d’Études Approndies in Computer Science in 1988, and a Ph.D. in Computer Science from LRI, Université de Paris-Sud in 1991. After his Ph.D., Léon joined AT&T Bell Laboratories from 1991 to 1992. He then became chairman of Neuristique, a small company pioneering machine learning for data mining applications. He returned to AT&T Labs from 1995 to 2002, and NEC Labs America at Princeton from 2002 to March 2010. He recently joined the Science team of Microsoft adCenter.
Léon’s primary research interest is machine learning. His contributions to this field address theory, algorithms and large
scale applications. Léon’s secondary research interest is data compression and coding. His best known contribution in this field is the DjVu document compression technology. Léon has published over 60 papers. He is serving or has served on the boards of the Journal of Machine Learning Research, IEEE Transactions on Pattern Analysis and Machine and Pattern Recognition Letters. More information at http://leon.bottou.org

Date:
Speakers:
Leon Bottou
Affiliation:
MS Ad Center Science Team
    • Portrait of Jeff Running

      Jeff Running

    • Portrait of Leon Bottou

      Leon Bottou