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A Margin-Theoretic Perspective on Feature Selection in Deep ...
www.ifml.institute
in 4 days — Matus Telgarsky, Assistant Professor University of Illinois Urbana-Champaign. 12: pm. The University of Texas at Austin GDC › events › margin-theoretic-p...
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Matus Telgarsky, 36, Albuquerque, Volunteer St Ne
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Matus I Telgarsky Volunteer St Ne Albuquerque, NM (505) Background Check - Available. Record ID: Matus I Telgarsky
Employees
Matus Telgarsky at University Of Illinois at Urbana - Champaign
www.ratemyprofessors.com
› professor
People | Sham M. Kakade
sham.seas.harvard.edu
Matus Telgarsky. Mathematical aspects of deep learning. John Thickstun. PhD candidate in Computer Science & Engineering at the University of Washington › team
Education
Daniel J. Hsu - Department of Computer Science and Data ...
www.cs.columbia.edu
Yucheng Chen, Matus Telgarsky, Chao Zhang, Bolton Bailey, Daniel Hsu, Jian Peng. In Thirty-Sixth International Conference on Machine Learning, › ~djhsu
COLT accepted papers | I’m a bandit
blogs.princeton.edu
Matus Telgarsky. Boosting with the Logistic Loss is ...
Projects
Extended Module Player / libxmp-python / [05065b] /docs/CREDITS
sourceforge.net
... Bjoern Fisher, Matus Telgarsky, Bernhard März, Cyke O'Path, Rudolf Cejka, Igor Krpanic, Chris Cox, Rudá Moura, Paul Wise, Henrik Pauli, Zbigniew Luszpinski, Jon Rafkind, Reynir Stefansson, Ralf Hoffmann, Douglas Carmichael, Adric Riedel, Gürkan Sengün, Lorence Lombardo * Module format specs and information: ...
Books & Literature
Beyond the Worst-Case Analysis of Algorithms
books.google.com
Thanks to Daniel Soudry and Matus Telgarsky for helpful feedback and comments. The material on stability is in part based on lecture notes from Berkeley's ...
Patterns, Predictions, and Actions: Foundations of Machine ...
books.google.com
98 Matus Telgarsky. Margins, shrinkage, and boosting. In International Conference on Machine Learning, Sham M. Kakade, Karthik Sridharan, ...
Algorithmic Learning Theory: 23rd International Conference, ALT 2012,...
books.google.co.uk
This book constitutes the refereed proceedings of the 23rd International Conference on Algorithmic Learning Theory, ALT 2012, held in Lyon, France, in October...
Boosting: Foundations and Algorithms - Robert E. Schapire, Yoav...
books.google.ro
An accessible introduction and essential reference for an approach to machine learning that creates highly accurate prediction rules by combining many weak and...
Related Documents
Feature selection with gradient descent on two-layer networks ...
arxiv.org
by M Telgarsky · — Submission history. From: Matus Telgarsky [view email] [v1] Thu, 4 Aug :43:36 UTC (148 KB). › cs
Publications
improved analyses and rates for gradient descent's implicit bias.
c3dti.ai
Ziwei Ji and Matus Telgarsky. “Characterizing the implicit bias via a primal-dual analysis” b. Ziwei Ji and Matus Telgarsky. › _Telgarsky_deck.pdf
EECS Machine Learning Theory
www.eecs.yorku.ca
... Over-parameterized Networks that Provably Generalize on Linearly Separable Data. ArXiv He Zhao Shai Shalev-Shwartz, Shaked Shammah, Amnon Shashua: On a Formal Model of Safe and Scalable Self-driving Cars. ArXiv December 4, Lecture 24 Student presentation. Xing (Shane) Zhao Matus Telgarsky: ...
Tensor Decompositions for Learning Latent Variable Models (A Survey...
link.springer.com
(19); Matus Telgarsky (20). Author Affiliations University of California, Irvine, USA; 17. Microsoft Research, New England, USA; 18.
Video & Audio
Neural networks and rational functions --- Matus Telgarsky
crossminds.ai
› video › neural-networks-and-ration...
Representation Power of Neural Networks - Microsoft Research
www.microsoft.com
... accuracy of certain deep or recurrent networks. Speakers. Matus Telgarsky. Matus Telgarsky is a postdoc in EECS at University of Michigan.
Reports & Statements
Twitter Posts: Illinois Computer Science on Twitter: "Matus Telgarsky seeks ...
› illinoiscs › status
USC - Viterbi School of Engineering - Events Calendar
viterbi.usc.edu
Speaker: Matus Telgarsky, UIUC Talk Title: Representation power of neural networks. Series: Yahoo! Labs Machine Learning Seminar Series › calendar
Bug# : Radeon DRI MTRR problem
lists.debian.org
Reply-to: , .org. Package: xlibmesa-dri Version: Upon upgrading from pre-release packages to ...
Bug# : marked as done (Radeon DRI MTRR problem)
lists.debian.org
References: ... Reply-to: . Package: xlibmesa-dri Version:
Miscellaneous
RL theory seminars - Future Seminars - Google Sites
sites.google.com
Speaker: Matus Telgarsky (UIUC). Paper: https://arxiv.org/abs Authors: Yuzheng Hu, Ziwei Ji, Matus Telgarsky. › view › future-seminars
Matus Telgarsky | LinkedIn
www.linkedin.com
largest business network, helping professionals like Matus Telgarsky discover ...
Matus Telgarsky's research works | University of Michigan ...
www.researchgate.net
› Matus-Telgarsky
Matus Jan Telgarsky | Electrical & Computer Engineering | UIUC
ece.illinois.edu
› about › directory › faculty › mjt
689 Deep Learning - Stephan Wojtowytsch
www.swojtowytsch.com
Lecture notes by Matus Telgarsky. Lecture notes by Tengyu Ma. Handwritten notes for a Course on the Mathematics of Deep Learning by Joan Bruna. › teaching › 689-deep-l...
Fast margin maximization via dual acceleration
icml.cc
Ziwei Ji · Nati Srebro · Matus Telgarsky ... Abstract: We present and analyze a momentum-based gradient method for training linear classifiers with an ... › virtual › poster
Four UA student award winners to perform this weekend
wc.arizona.edu
Playing at top form for a musician is a labor of love for violinist Matus Telgarsky - with extra emphasis on the labor part. › papers
Generalization bounds via distillation - Papertalk
papertalk.org
Daniel Hsu, Ziwei Ji, Matus Telgarsky, Lan Wang. Keywords: distillation, theory, statistical learning theory, Generalization. Abstract Paper Similar Papers. › papertalks
NSF Award Search: Award # CAREER: Theoretical ...
nsf.gov
Matus Telgarsky (Principal Investigator) . Awardee Sponsored Research Office: University of Illinois at Urbana-Champaign 506 S WRIGHT ST › awardsearch › showAward
Neural Networks and Rational Functions
proceedings.mlr.press
by M Telgarsky · · Cited by 68 — Neural Networks and Rational Functions. Matus Telgarsky. Proceedings of the 34th International Conference on Machine Learning, PMLR 70: , › ...
Rong Ge, Duke University - Duke Computer Science
users.cs.duke.edu
Kakade, Matus Telgarsky. In JMLR Vol 15. › ~rongge
Schedule - CSE Washington
courses.cs.washington.edu
Tentative Schedule ; Approximation Theory ; Th, 1D and multivariate approximation, Chapter 1,2 of Matus Telgarsky's notes ; 4/5 Tu, Barron's theory, depth ... › courses › schedule
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