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Moritz Hardt

Department of Electrical Engineering and Computer Sciences. University of California, Berkeley. My mission is to build theory and tools that make the practice of machine learning across science and industry more robust, reliable, and aligned with societal values. Hardt at berkeley dot edu. Note: I do not have any internship positions). Friday, 9a – 9:50a, SDH 722. Ndash; Spring 2018: EE 227C Convex Optimization and Approximation. Ndash; Fall 2017: CS 294 Fairness in Machine Learning. Lydia T. Liu. Throug...

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Moritz Hardt | moritzhardt.com Reviews
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Department of Electrical Engineering and Computer Sciences. University of California, Berkeley. My mission is to build theory and tools that make the practice of machine learning across science and industry more robust, reliable, and aligned with societal values. Hardt at berkeley dot edu. Note: I do not have any internship positions). Friday, 9a – 9:50a, SDH 722. Ndash; Spring 2018: EE 227C Convex Optimization and Approximation. Ndash; Fall 2017: CS 294 Fairness in Machine Learning. Lydia T. Liu. Throug...
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7 co advisees
8 john miller
9 smitha milli
10 yu sun
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Moritz Hardt | moritzhardt.com Reviews

https://moritzhardt.com

Department of Electrical Engineering and Computer Sciences. University of California, Berkeley. My mission is to build theory and tools that make the practice of machine learning across science and industry more robust, reliable, and aligned with societal values. Hardt at berkeley dot edu. Note: I do not have any internship positions). Friday, 9a – 9:50a, SDH 722. Ndash; Spring 2018: EE 227C Convex Optimization and Approximation. Ndash; Fall 2017: CS 294 Fairness in Machine Learning. Lydia T. Liu. Throug...

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rsrg.cms.caltech.edu rsrg.cms.caltech.edu

rsrg@caltech

http://rsrg.cms.caltech.edu/seminars.shtml

Where theory and practice collide. Latest Blog Posts from Rigor Relevance. Resnick Fellowships in Sustainability. Graduate Student Fellowships and Postdoctoral Fellowships Available. Click here to apply! Krishnamurthy Dvijotham and coauthors have won the Best Paper Award at Constraint Programming Conference for "Graphical Models for Optimal Power Flow." Congratulations! Greenmetrics Best Student Paper Award. Xiaoqi Ren Receives Resnick Grad Fellowship. EV Charging Stations at Caltech. An informal Smart G...

toctest.cs.uchicago.edu toctest.cs.uchicago.edu

Editors: Theory of Computing: An Open Access Electronic Journal in Theoretical Computer Science

http://toctest.cs.uchicago.edu/editors.html

Http:/ theoryofcomputing.org ISSN 1557-2862. Endorsed by ACM SIGACT. László Babai. Courant Institute, NYU. Satya V. Lokam. U Maryland, College Park. Donald E. Knuth. Courant Institute, NYU. U Texas at Austin. László Lovász. Eötvös U., Budapest. Toyota Technological Institute at Chicago. Guest Editors for the APPROX/RANDOM 2013 Special Issue:. Guest Editors for the APPROX/RANDOM 2014 Special Issue:. Microsoft Research, Bangalore. University of Notre Dame. Technische Universität München.

rigorandrelevance.wordpress.com rigorandrelevance.wordpress.com

Katrina Ligett | Rigor + Relevance

https://rigorandrelevance.wordpress.com/author/kligett

Thoughts on the gap between theory and practice in networks, energy, markets, and privacy. Author Archives: Katrina Ligett. Two weeks ago, on April 24, thirty-some people gathered at Caltech for a workshop on privacy. At least from my (biased) perspective, it was a great time! The basic format was that each speaker was paired with a discussant who doesn’t work on privacy, but who could provide motivation, discussion, context, or critique for the talk. A Caltech economist. Together, they helped us und...

toc.cse.iitk.ac.in toc.cse.iitk.ac.in

Editors: Theory of Computing: An Open Access Electronic Journal in Theoretical Computer Science

http://toc.cse.iitk.ac.in/editors.html

Http:/ theoryofcomputing.org ISSN 1557-2862. Endorsed by ACM SIGACT. László Babai. Courant Institute, NYU. Satya V. Lokam. U Maryland, College Park. Donald E. Knuth. Courant Institute, NYU. U Texas at Austin. László Lovász. Eötvös U., Budapest. Toyota Technological Institute at Chicago. Guest Editors for the APPROX/RANDOM 2013 Special Issue:. Guest Editors for the APPROX/RANDOM 2014 Special Issue:. Microsoft Research, Bangalore. University of Notre Dame. Technische Universität München.

ibmresearchnews.blogspot.com ibmresearchnews.blogspot.com

IBM Research: Preserving Validity in Adaptive Data Analysis

http://ibmresearchnews.blogspot.com/2015/08/preserving-validity-in-adaptive-data_6.html

Preserving Validity in Adaptive Data Analysis. Editor’s note: this article is by Vitaly Feldman, research scientist at IBM Research-Almaden. From discovering new particles and clinical studies to predicting election results and evaluating credit scores, scientific progress and industrial innovation increasingly rely on statistical data analysis. And contribute to a wider concern about the reproducibility of research findings, most notably in medical research. The issue is hotly debated. The main difficul...

sisl.caltech.edu sisl.caltech.edu

SISL - Social & Information Sciences Laboratory at Caltech

http://sisl.caltech.edu/events.shtml

The Social and Information Sciences Laboratory. Applications are now being accepted for postdoctoral fellowships that will begin in Fall 2016. To apply, click here! Katrina Ligett Receives Microsoft Research Faculty Fellowship. Katrina Ligett is one of only seven early-career faculty who have received 2013 Microsoft Research Faculty Fellowships. Congratulations! Katrina Ligett Receives NSF CAREER Award. SISL is actively recruiting both graduate students and postdocs. Information Science and Technology.

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Moritz Hardt

Department of Electrical Engineering and Computer Sciences. University of California, Berkeley. My mission is to build theory and tools that make the practice of machine learning across science and industry more robust, reliable, and aligned with societal values. Hardt at berkeley dot edu. Note: I do not have any internship positions). Friday, 9a – 9:50a, SDH 722. Ndash; Spring 2018: EE 227C Convex Optimization and Approximation. Ndash; Fall 2017: CS 294 Fairness in Machine Learning. Lydia T. Liu. Throug...

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