Paul Bartlett

Director at ENGIE Impact, ENGIE Impact
Greater London, England,United Kingdom
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Who Is Paul Bartlett?

Total Experience55 years
CompanyENGIE Impact
CountryUnited Kingdom

Paul Bartlett is a distinguished professor in the Departments of Electrical Engineering and Computer Sciences (EECS) and Statistics at the University of California, Berkeley. He is also a Senior Staff Research Scientist at Google Research. His research interests are in the statistical and algorithmic aspects of machine learning, including reinforcement learning, deep learning theory, statistical learning theory, and online learning. He has made significant contributions to understanding the generalization capabilities of learning algorithms, particularly in areas like PAC-Bayesian analysis and the theory of neural networks. Before joining UC Berkeley, he held positions at the Australian National University. He is highly cited and has influenced many researchers in the field.

How Did Paul Bartlett's Career Path Shape Their Journey?

Paul Bartlett's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:

ENGIE Impact - Director at ENGIE Impact(2019 to Present)
Ecova - Head of European Energy Procurement(2015 to Present)
Power Efficiency Ltd - Energy Procurement Department Manager(2007 to 2015)
Mark Dury & Company - Utility Analyst(1999 to 2002)
Cable London Plc - Assignments System Operator(1999 to 1999)
En-Tech Energy Consultants Ltd - Energy Data Analyst(1998 to 1999)
Grovers - Surveyor(1993 to 1998)
Diamond Engineering - Engineer(1991 to 1993)
Baker & Freeman Engineering - Engineer(1989 to 1991)
Anglian Elevators Ltd - Apprentice(1987 to 1989)

What Are Paul Bartlett's Key Achievements?

Fellow of the Institute of Mathematical Statistics (IMS)

Elected for his significant contributions to the theory and application of statistics, particularly in machine learning.

Fellow of the Association for Computing Machinery (ACM)

Recognized for his fundamental contributions to statistical learning theory and machine learning.

NeurIPS Test of Time Award

Awarded for papers presented at past NeurIPS conferences that have had a lasting and significant impact on the field of machine learning.

Significant Contributions to Statistical Learning Theory

His work on topics like Rademacher complexity, PAC-Bayesian bounds, and the analysis of large margin classifiers has been foundational.

Co-author of 'Neural Network Learning: Theoretical Foundations'

Authored an influential textbook providing a rigorous theoretical treatment of learning in neural networks.

What's Paul Bartlett's Educational Background?

Degree Program

Ravens Wood School for Boys - Year 1980

English Law

Bromley Adult Education College

Degree Program

Lewisham College

Degree Program

Ravens Wood School for Boys

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Company Overview

ENGIE Impact
Total employees2000
HeadquartersNew York
Founded2019

ENGIE Impact, an ENGIE Group company, partners with businesses, cities, and governments around the world to accelerate their sustainability transformation. They provide data-driven insights, expert advisory services, and technology solutions to help organizations reduce resource consumption (energy, water, waste), decarbonize their operations, and implement long-term sustainability strategies. Their goal is to bridge the gap between sustainability ambitions and tangible, economically viable results.

ENGIE Impact Stock Information
ENGIE Impact, Inc. is listed on the Euronext Paris under the ticker symbol ENGI. The company went public on July 22, 2008

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