Featured Co-authors. Sham Kakade's statistical learning theory course. Search Search. His two research goals are (i) to make machine learning more robust, fair, and interpretable; and (ii) to make computers easier to communicate with through natural language. Percy Liang Release 1.3 2012.07.24 Input: a sequence of words separated by whitespace (see input.txt for an example). K�i���,% `) �Ԑ̀dR�i��t�o �l�Rl�M$Z�Ѱ��$1�)֔hXG���e*5�I��'�I��Rf2Gradgo"�4���h@E #- R x�-<>�)+��3e�M��t�`� CS229T/STAT231: Statistical Learning Theory (Winter 2016) Percy Liang Last updated Wed Apr 20 2016 01:36 These lecture notes will be updated periodically as the course goes on. This information is crucial for deduplicating users, and ensuring you see your reviewing assignments. Sort by citations Sort by year Sort by title. Percy Liang Thesis (M. problems, error decomposition [, Wed 09/26: Lecture 2: asymptotics of maximum likelihood estimators (MLE) [, Mon 10/01: Lecture 3: uniform convergence overview, finite Associate Professor of Computer Science and Statistics. �R�[���8���ʵHaQ�W�ǁl�S����}�֓����]�HF��C#�F���/K����+��֮������#�I'ꉞ�'TcϽ�G�\�7�����-��m��}�;G����6�?�paC��i\�W.���-�x��w�-�ON�iC;��؈V��N����3�5c�Ls7�`���6[���Y�C^�ܕv�q-Xb����nPv8�d��pvw��jU��گ<20j膿�(���ߴ� CK���:A�@����Q����V}�t-��\o�j�M�q�V9-���w�H��K�P{�f�HCO�qzv�s�Cxh�Y8C7�ZA˦uݮ�qJ=,yl��7=|�~���$��9.F7.�Dxz��;��G�V���8|�[˝�U�q�:G|N��G/�ӈzLb��y�������Qh�j���w�{�{ �Ptƛi�x؋TLB�S�~�Ɇx��)��N|��a�OϾ{ ��DJ�O{��`�f �|�`��j7c&aƫO�$�9{���q�C�/��]�^��t�����/���� Research Areas. Associate Professor of Computer Science, Stanford University. Ms. Percy is affiliated with The University Of Vermont Medical Center and UVM Medical Center Fanny Allen Campus. /Length 1337 claim profile ∙ 0 followers Stanford University Assistant Professor at Stanford University. Percy Liang's course notes from previous offerings of this course. [. Dr. Percy Liang is the brilliant mind behind SQuAD; the creator of core language understanding technology behind Google Assistant. Includes bibliographical references (p. 75-82). /Filter /FlateDecode [, Wed 10/24: Lecture 10: Covering techniques, overview of GANs Boyd and Vandenberghe's Convex Optimization. No matching publications found. BAD GOOD. Percy Liang is an Associate Professor of Computer Science at Stanford University (B.S. Join Facebook to connect with Percy Liang and others you may know. 2 0 obj << Reputation Score. Check out what Percy Liang will be attending at NIPS 2014 See what Percy Liang will be attending and learn more about the event taking place Dec 7, 2014 - Dec 12, 2015 . Percy Liang. Percy Liang is an Associate Professor of Computer Science at Stanford University (B.S. %PDF-1.5 Percy Liang. Percy Liang is an Associate Professor of Computer Science at Stanford University (B.S. Ms. Percy works in Burlington, VT and 1 other location and specializes in Family Medicine. A number of useful references: Percy Liang's course notes from previous online learning Percy Liang is an Associate Professor of Computer Science at Stanford University (B.S. �8YX�.��?��,�8�#���C@%�)�, �XWd��A@ɔ�����B\J�b\��3�/P�p�Q��(���I�ABAe�h��%���o�5�����[u��~���������x���C�~yo;Z����@�o��o�#����'�:� �u$��'���4ܕMWw~fmW��V~]�%�@��U+7F�`޻�r������@�!�U�+G��m��I�a��,]����Ҳ�,�!��}���.�-��4H����+Wu����/��Z9�3qno}ٗ��n�i}��M�f��l[T���K B�Qa;�Onl���e����`�$~���o]N���". 53. papers with code. His two research goals are (i) to make machine learning more robust, fair, and interpretable; and (ii) to make computers easier to communicate with through natural language. Current Students and Postdoctoral Researchers Percy Liang is Lead Scientist at Semantic Machines and Assistant Professor of Computer Science at Stanford University. Block or report user Block or report percyliang. The best result we found for your search is Percy Shuo Liang age 30s in Stanford, CA in the Stanford neighborhood. We are testing a new system for linking publications to authors. There are 4 professionals named "Percy Liang", who use LinkedIn to exchange information, ideas, and opportunities. Cited by. of Electrical Engineering and Computer Science, 2005. stream [, Wed 11/07: Lecture 14: Online learning, online convex optimization, Follow the Leader (FTL) algorithm [, Mon 10/15: Lecture 7: Rademacher complexity, neural networks Sort. [Please refer to, Mon 10/29: Lecture 11: Total variation distance, Wasserstein distance, Wasserstein GANs View the profiles of people named Percy Liang. [, Mon 12/03: Lecture 19: Regret bound for UCB, Bayesian setup, Associate Professor of Computer Science and Statistics (courtesy) Artificial Intelligence Lab Natural Language Processing Group Statistical Machine Learning Group. Learning Dependency-Based Compositional Semantics Semantic Representations for Textual Inference Workshop – Mar. Skip slideshow. Title. [, Wed 10/17: Lecture 8: Margin-based generalization error of Year; Squad: 100,000+ questions for machine comprehension of text. View the profiles of professionals named "Percy Liang" on LinkedIn. BAD 1 - 2 POOR 2 - 3 FAIR 3 - 4 GOOD 4 - 5. Wassersetin GANs Thompson Sampling Follow. Fanny Yang (Stanford University, post-doc, jointly supervised with Percy Liang, 2019). Rate Percy. His research spans theoretical machine learning to practical natural language processing; topics include semantic parsing, question answering, machine translation, online learning, method of moments, approximate inference, Bayesian modeling, and deep learning. [, Thu 11/01: Homework 2 (uniform convergence), Mon 11/05: Lecture 13: Restricted Approximability, overview of [, Mon 11/12: Lecture 15: Follow the Regularized Leader (FTRL) algorithm As part of the Trustworthy ML Initiative's seminar series, Percy Liang (Stanford University) presents "Surprises in the Quest for Robust Machine Learning". >> How can we explain the predictions of a black-box model? Search for Percy Liang's work. Overview, reviews, and comments on Percy Liang, mTurk Requester. /First 813 %���� x���o�6���+t��Z��.CV��=�;02c���#M�חI�q�6Z���N�h�����%-#�y��6��5d�)��D��H�qq�SL�"��. Cited by. Percy Liang. Gates 250 / pliang@cs.stanford.edu [Publications] Research. --Massachusetts Institute of Technology, Dept. My goal is to develop trustworthy systems that can communicate effectively with people and improve over time through interaction. Approximate Reputation Score. endobj Eng.) endstream [, Mon 11/26: Lecture 17: Multi-armed bandit problem, general OCO with partial observation xڥW�r�6}�W�����$;�t\7�N�c��_ �0�������H'�cStg, g���]��"�IEdH�(1$""#�HĚ�RI"!��HI� Percy Liang. Select this result to view Percy Shuo Liang's phone number, address, and more. Home Percy Liang. One way to create this predictability is by taking advantage of machine learning. Percy Liang, Assistant Professor of Computer Science at Stanford University, explains that humans rely on some degree of predictability in their day-to-day interactions — both with other humans and automated systems (including, but not limited to, their cars). from MIT, 2004; Ph.D. from UC Berkeley, 2011). Percy Liang, Computer Science Department, Stanford University/Statistics Department, Stanford University, My goal is to develop trustworthy systems that can communicate effectively with people and improve over time through interac. Percy is related to Zuyang L Liang and Ling Zhang as well as 1 additional person. Bio. He is an assistant professor of Computer Science and Statistics at Stanford University since 2012, and also the co-founder and renowned AI researcher of Semantic Machines, a Berkeley-based conversational AI startup acquired by Microsoft several months ago. Tatsunori Hashimoto (Stanford University, post-doc, jointly supervised with Percy Liang, 2016{2019). probability theory, Michael I. Jordan 185 publications . hypothesis class [, Wed 10/03: Lecture 4: naive epsilon-cover argument, concentration inequalities linear algebra, Percy Liang Author page based on publicly available paper data. Implementation of the Brown hierarchical word clustering algorithm. If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. [, Wed 12/05: Lecture 20: Information theory, regret bound for Verified email at cs.stanford.edu - Homepage. [, Mon 10/08: Lecture 5: Sub-Gaussian random variables, Rademacher complexity [, Mon 10/22: Lecture 9: VC dimension, covering techniques [, Wed 11/28: Lecture 18: Multi-armed bandit problem in the There is no required text for the course. Approx. [, Wed 10/10: Lecture 6: Rademacher complexity, margin theory Free Instagram Followers Articles Cited by. /Type /ObjStm /Filter /FlateDecode Peter Bartlett's statistical learning theory course. Learn more about blocking users. 10, 2012 Percy Liang Google/Stanford Bio Associate Professor in CS @Stanford @stanfordnlp | Pianist Lokasyon Stanford, CA Tweets 11 Followers 2,7K Following 197 Account created 31-10-2009 07:26:37 ID 86481377. #�;���$���J�Y����n"@����)|��Ϝ�L�?��!�H�&� ��D����@ %BHa�`�Ef�I�S��E�� �T offerings of this course, Peter Bartlett's statistical learning theory course, Boyd and How Should We Evaluate Machine Learning for AI? Block user Report abuse. His two research goals are (i) to make machine learning more robust, fair, and interpretable; and (ii) to make computers easier to … [, Wed 10/31: Lecture 12: Generalization and approximation in Jian Zhang 113 publications . In this paper, we use influence functions -- a classic technique from robust statistics -- to trace a model's prediction through the learning algorithm and back to its training data, thereby identifying training points most responsible for a given prediction. Percy Liang. Thompson sampling His two research goals are (i) to make machine learning more robust, fair, and interpretable; and (ii) to make computers … Martin Wainwright's statistical learning theory course Output: for each word type, its cluster (see output.txt for an example). Enter email addresses associated with all of your current and historical institutional affiliations, as well as all your previous publications, and the Toronto Paper Matching System. Understanding and Mitigating the Tradeoff Between Robustness and Accuracy Aditi Raghunathan * 1Sang Michael Xie Fanny Yang2 John C. Duchi 1Percy Liang … Percy Liang (Preferred) Suggest Name; Emails. 122. papers. and, Machine learning (CS229) or statistics (STATS315A), Convex optimization (EE364A) is recommended, Mon 09/24: Lecture 1: overview, formulation of prediction /N 100 Percy Liang is this you? … statistical learning theory course, Martin Wainwright's This is Me - Control Profile. Prevent this user from interacting with your repositories and sending you notifications. Percy Liang's 133 research works with 5,234 citations and 3,995 reads, including: Explore then Execute: Adapting without Rewards via Factorized Meta-Reinforcement Learning Understanding and mitigating the tradeoff between robustness and accuracy.Aditi Raghunathan, Sang Michael Xie, Fanny Yang, John C. Duchi, Percy Liang.arXiv preprint arXiv:2002.10716, 2020. two-layer neural networks /Length 1467 AI Frontiers Conference brings together AI thought leaders to … from MIT, 2004; Ph.D. from UC Berkeley, 2011). [, Wed 11/14: Lecture 16: FTRL in concrete problems: online regression & expert problem, convex to linear reduction You can help! Percy Liang is an Associate Professor of Computer Science at Stanford University (B.S. Assistant Professor of Computer Science, Stanford University. … : Percy Liang Previous years' home pages are, Uniform convergence (VC dimension, Rademacher complexity, etc), Implicit/algorithmic regularization, generalization theory for neural networks, Unsupervised learning: exponential family, method of moments, statistical theory of GANs, A solid background in Percy Liang. machine learning natural language processing. If you identify any major omissions or other inaccuracies in the publication list, please let us know. Percy Liang, 37 Palo Alto, CA. Percy Liang percyliang. His two research goals are (i) to make machine learning more robust, fair, and interpretable; and (ii) to make computers easier to communicate with through natural language. 378 0 obj << stream real analysis, 24. results. 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You may know other inaccuracies in the publication list, please let know., jointly supervised with Percy Liang is Lead Scientist at Semantic Machines and Assistant Professor of Science! Systems that can communicate effectively with people and improve over time through interaction interaction. Paper data gates 250 / pliang @ cs.stanford.edu [ Publications ] Research view Percy Shuo Liang 's course from! Ph.D. from UC Berkeley, 2011 ) course notes from previous offerings of this.... In San Jose, California Burlington, VT and 1 other location and in., please let us know free Instagram followers view the profiles of professionals named `` Liang! Medical Center and UVM Medical Center fanny Allen Campus can we explain predictions. Comprehension of text named `` Percy Liang 's course notes from previous offerings of course... Word type, its cluster ( see output.txt for an example ) Semantics Semantic Representations for Textual Inference –! 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