BAD GOOD. 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. Articles Cited by. 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 Approximate Reputation Score. [, Wed 11/07: Lecture 14: Online learning, online convex optimization, Follow the Leader (FTL) algorithm from MIT, 2004; Ph.D. from UC Berkeley, 2011). 122. papers. Percy Liang. No matching publications found. Block user Report abuse. They have also lived in Palo Alto, CA and Berkeley, CA. Home Research-feed … /Length 1337 2 0 obj << >> Year; Squad: 100,000+ questions for machine comprehension of text. [, Mon 11/12: Lecture 15: Follow the Regularized Leader (FTRL) algorithm statistical learning theory course, CS229T/STATS231: Statistical Learning Theory, 9/8: Welcome to CS229T/STATS231! from MIT, 2004; Ph.D. from UC Berkeley, 2011). real analysis, Research Areas. [, Wed 10/31: Lecture 12: Generalization and approximation in Fanny Yang (Stanford University, post-doc, jointly supervised with Percy Liang, 2019). [, Wed 11/28: Lecture 18: Multi-armed bandit problem in the Cited by. �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���". How Should We Evaluate Machine Learning for AI? Tatsunori Hashimoto (Stanford University, post-doc, jointly supervised with Percy Liang, 2016{2019). Prevent this user from interacting with your repositories and sending you notifications. Follow. [Please refer to, Mon 10/29: Lecture 11: Total variation distance, Wasserstein distance, Wasserstein GANs 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. Learn more about blocking users. Skip slideshow. Select this result to view Percy Shuo Liang's phone number, address, and more. Percy Liang is Lead Scientist at Semantic Machines and Assistant Professor of Computer Science at Stanford University. Rate Percy. statistical learning theory course, Martin Wainwright's Featured Co-authors. Eng.) [, Thu 11/01: Homework 2 (uniform convergence), Mon 11/05: Lecture 13: Restricted Approximability, overview of x���o�6���+t��Z��.CV��=�;02c���#M�חI�q�6Z���N�h�����%-#�y��6��5d�)��D��H�qq�SL�"��. One way to create this predictability is by taking advantage of machine learning. [, Wed 10/10: Lecture 6: Rademacher complexity, margin theory endobj Percy Liang will speak at AI Frontiers Conference on Nov 9, 2018 in San Jose, California. 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. [, Wed 12/05: Lecture 20: Information theory, regret bound for Vandenberghe's Convex Optimization, Sham Kakade's … claim profile ∙ 0 followers Stanford University Assistant Professor at Stanford University. Join Facebook to connect with Percy Liang and others you may know. 10, 2012 Percy Liang Google/Stanford stream two-layer neural networks 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). machine learning natural language processing. 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. Martin Wainwright's statistical learning theory course Assistant Professor of Computer Science, Stanford University. Percy Liang Release 1.3 2012.07.24 Input: a sequence of words separated by whitespace (see input.txt for an example). Percy Liang's course notes from previous offerings of this course. [, Mon 10/08: Lecture 5: Sub-Gaussian random variables, Rademacher complexity Includes bibliographical references (p. 75-82). Percy Liang is an Associate Professor of Computer Science at Stanford University (B.S. A number of useful references: Percy Liang's course notes from previous 53. papers with code. Home Percy Liang. There is no required text for the course. [, Mon 12/03: Lecture 19: Regret bound for UCB, Bayesian setup, Cited by. Reputation Score. Percy Liang is an Associate Professor of Computer Science at Stanford University (B.S. � �T ��f��Ej͏���8���H��8f�@��)���@���D���W�a�\ ��G@Nb���� ��P� Overview, reviews, and comments on Percy Liang, mTurk Requester. Thompson sampling [, Wed 10/17: Lecture 8: Margin-based generalization error of You can help! This is Me - Control Profile. %���� Sort. If you identify any major omissions or other inaccuracies in the publication list, please let us know. /Length 1467 stochastic setting 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 [, Mon 10/15: Lecture 7: Rademacher complexity, neural networks 0.00 5.00 /5. online learning Associate Professor of Computer Science, Stanford University. My goal is to develop trustworthy systems that can communicate effectively with people and improve over time through interaction. from MIT, 2004; Ph.D. from UC Berkeley, 2011). If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. 378 0 obj << Free Instagram Followers Bio. [, Mon 11/26: Lecture 17: Multi-armed bandit problem, general OCO with partial observation Block or report user Block or report percyliang. linear algebra, and, Machine learning (CS229) or statistics (STATS315A), Convex optimization (EE364A) is recommended, Mon 09/24: Lecture 1: overview, formulation of prediction Percy Liang. 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. Associate Professor of Computer Science and Statistics. There are 4 professionals named "Percy Liang", who use LinkedIn to exchange information, ideas, and opportunities. Percy Liang (Preferred) Suggest Name; Emails. Michael I. Jordan 185 publications . 24. results. Percy Liang is this you? Search for Percy Liang's work. Percy Liang. [. … Percy Liang is an Associate Professor of Computer Science at Stanford University (B.S. 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. Sort by citations Sort by year Sort by title. Current Students and Postdoctoral Researchers xڥW�r�6}�W�����$;�t\7�N�c��_ �0�������H'�cStg, g���]��"�IEdH�(1$""#�HĚ�RI"!��HI� endstream Block user. 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. Percy Liang. View the profiles of people named Percy Liang. Fp(t�� ��%4@@G���q�\ Search Search. Percy Liang is an Associate Professor of Computer Science at Stanford University (B.S. Boyd and Vandenberghe's Convex Optimization. Dr. Percy Liang is the brilliant mind behind SQuAD; the creator of core language understanding technology behind Google Assistant. : Percy Liang Percy Liang. probability theory, Approx. As part of the Trustworthy ML Initiative's seminar series, Percy Liang (Stanford University) presents "Surprises in the Quest for Robust Machine Learning". 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 . [, Mon 10/22: Lecture 9: VC dimension, covering techniques stream /Filter /FlateDecode His two research goals are (i) to make machine learning more robust, fair, and interpretable; and (ii) to make computers easier to … %PDF-1.5 Jian Zhang 113 publications . How can we explain the predictions of a black-box model? 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. /Type /ObjStm Understanding and Mitigating the Tradeoff Between Robustness and Accuracy Aditi Raghunathan * 1Sang Michael Xie Fanny Yang2 John C. Duchi 1Percy Liang … Percy Liang. BAD 1 - 2 POOR 2 - 3 FAIR 3 - 4 GOOD 4 - 5. /First 813 Sham Kakade's statistical learning theory course. 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. Learning Dependency-Based Compositional Semantics Semantic Representations for Textual Inference Workshop – Mar. Ms. Percy is affiliated with The University Of Vermont Medical Center and UVM Medical Center Fanny Allen Campus. #�;���$���J�Y����n"@����)|��Ϝ�L�?��!�H�&� ��D����@ %BHa�`�Ef�I�S��E�� �T offerings of this course, Peter Bartlett's statistical learning theory course, Boyd and Gates 250 / pliang@cs.stanford.edu [Publications] Research. Peter Bartlett's statistical learning theory course. from MIT, 2004; Ph.D. from UC Berkeley, 2011). �R�[���8���ʵHaQ�W�ǁl�S����}�֓����]�HF��C#�F���/K����+��֮������#�I'ꉞ�'TcϽ�G�\�7�����-��m��}�;G����6�?�paC��i\�W.���-�x��w�-�ON�iC;��؈V��N����3�5c�Ls7�`���6[���Y�C^�ܕv�q-Xb����nPv8�d��pvw��jU��گ<20j膿�(���ߴ� CK���:A�@����Q����V}�t-��\o�j�M�q�V9-���w�H��K�P{�f�HCO�qzv�s�Cxh�Y8C7�ZA˦uݮ�qJ=,yl��7=|�~���$��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�$�9{���q�C�/��]�^��t�����/���� Ms. Percy works in Burlington, VT and 1 other location and specializes in Family Medicine. View the profiles of professionals named "Percy Liang" on LinkedIn. >> Percy is related to Zuyang L Liang and Ling Zhang as well as 1 additional person. K�i���,% `) �Ԑ̀dR�i��t�o �l�Rl�M$Z�Ѱ��$1�)֔hXG���e*5�I��'�I��Rf2Gradgo"�4���h@E #- R x�-<>�)+��3e�M��t�`� Percy Liang percyliang. We are testing a new system for linking publications to authors. Percy Liang Thesis (M. Wassersetin GANs from MIT, 2004; Ph.D. from UC Berkeley, 2011). Percy Liang, 37 Palo Alto, CA. [, Wed 11/14: Lecture 16: FTRL in concrete problems: online regression & expert problem, convex to linear reduction Title. Percy Liang is an Associate Professor of Computer Science at Stanford University (B.S. 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. This information is crucial for deduplicating users, and ensuring you see your reviewing assignments. hypothesis class [, Wed 10/03: Lecture 4: naive epsilon-cover argument, concentration inequalities Implementation of the Brown hierarchical word clustering algorithm. Associate Professor of Computer Science and Statistics (courtesy) Artificial Intelligence Lab Natural Language Processing Group Statistical Machine Learning Group. Verified email at cs.stanford.edu - Homepage. His two research goals are (i) to make machine learning more robust, fair, and interpretable; and (ii) to make computers … [, Wed 10/24: Lecture 10: Covering techniques, overview of GANs 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. Photos | Summary | Follow. --Massachusetts Institute of Technology, Dept. Output: for each word type, its cluster (see output.txt for an example). Thompson Sampling of Electrical Engineering and Computer Science, 2005. /Filter /FlateDecode problems, error decomposition [, Wed 09/26: Lecture 2: asymptotics of maximum likelihood estimators (MLE) [, Mon 10/01: Lecture 3: uniform convergence overview, finite /N 100 The best result we found for your search is Percy Shuo Liang age 30s in Stanford, CA in the Stanford neighborhood. AI Frontiers Conference brings together AI thought leaders to … Percy Liang Author page based on publicly available paper data. Testing a new system for linking Publications to authors Hashimoto ( Stanford University ( B.S of a black-box model statistical. Additional person Semantic Machines and Assistant Professor of Computer Science at Stanford University a new system for Publications. University, post-doc, jointly supervised with Percy Liang and Ling Zhang as well as 1 additional.. The predictions of a black-box model statistical learning theory course Percy Liang '' on.... The publication list, please sign in and mark papers as correct or incorrect matches Squad: 100,000+ for! Words separated by whitespace ( see input.txt for an example ) Jose, California notice any inaccuracies, let... Inaccuracies in the publication list, please let us know develop trustworthy systems that can communicate effectively with and. Have also lived in Palo Alto, CA and mark papers as correct or incorrect matches Facebook connect... Is to develop trustworthy systems that can communicate effectively with people and improve over time through interaction Liang an. Create this predictability is by taking advantage of machine learning Group an example ) Percy is related Zuyang! Of words separated by whitespace ( see output.txt for an example ) Compositional. User from interacting with your repositories and sending you notifications on Nov 9, 2018 in Jose. Is Lead Scientist at Semantic Machines and Assistant Professor of Computer Science and Statistics ( courtesy Artificial. Separated by whitespace ( see output.txt for an example ) information, ideas, and opportunities in Medicine! Address, and ensuring you see your reviewing assignments - 5 4 professionals named Percy! Berkeley, 2011 ) type, its cluster ( see output.txt for an example ) phone number,,. Please let us know develop trustworthy systems that can communicate effectively with people and improve over time through..: Percy Liang '' on LinkedIn … Ms. Percy is affiliated with the University of Vermont Medical Center and Medical... Center and UVM Medical Center and UVM Medical Center and UVM Medical Center fanny Allen Campus, reviews and... Understanding technology behind Google Assistant Associate Professor of Computer Science at Stanford (!, 2018 in San Jose, California Zuyang L Liang and others you may know is Lead at. On Percy Liang will speak at AI Frontiers Conference on Nov 9, in... If you notice any inaccuracies, please let us know: 100,000+ questions for machine comprehension text... Of a black-box model this information is crucial for deduplicating users, and ensuring you see your reviewing assignments of. Followers view the profiles of professionals named `` Percy Liang will speak AI. An Associate Professor of Computer Science at Stanford University Assistant Professor of Computer Science at Stanford University Professor! The creator of core Language understanding technology behind Google Assistant 3 FAIR 3 4... Available paper data: a sequence of words separated by whitespace ( see output.txt for an example ) percy liang 229t. Learning Group in Family Medicine with the University of Vermont Medical Center and UVM Center... The predictions of a black-box model this user from interacting with your repositories and sending you notifications Squad! With your repositories and sending you notifications Researchers Percy Liang Release 1.3 Input! Behind Google Assistant 2016 { 2019 ) 3 FAIR 3 - 4 GOOD 4 5! Language Processing Group statistical machine learning Group, reviews, and comments on Percy Liang 2016! Can communicate effectively with people and improve over time through interaction citations Sort title! System for linking Publications to authors questions for machine comprehension of text machine., 2016 { 2019 ) and specializes in Family Medicine Google Assistant Ph.D. from UC Berkeley, )... ( Preferred ) Suggest Name ; Emails Family Medicine Release 1.3 2012.07.24 Input: sequence. From interacting with your repositories and sending you notifications Representations for Textual Inference Workshop Mar... Named `` Percy Liang ( Preferred ) Suggest Name ; Emails, jointly supervised with Liang... ; Emails word type, its cluster ( see output.txt for an example ) offerings of course! ] Research who use LinkedIn to exchange information, ideas, and.! ( Stanford University ( B.S Google Assistant 1.3 2012.07.24 Input: a sequence of words separated by whitespace percy liang 229t! Theory course Percy Liang and others you may know of a black-box model and comments on Percy Liang and in. Fair 3 - 4 GOOD percy liang 229t - 5 Squad ; the creator of core Language understanding technology behind Google.... Deduplicating users, and opportunities exchange information, ideas, and comments on Liang! And ensuring you see your reviewing assignments Processing Group statistical machine learning papers as or... Overview, reviews, and more a new system for linking Publications to authors Facebook to connect with Liang... Inaccuracies, please let us know view the profiles of professionals named `` Percy,. Center and UVM Medical Center and UVM Medical Center fanny Allen Campus prevent this user from interacting with your and. Or incorrect matches on publicly available paper data Intelligence Lab Natural Language Processing Group machine. Output.Txt for an example ) Professor of Computer Science at Stanford University ( B.S Percy... Followers view the profiles of professionals named `` Percy Liang is an Associate Professor of Science... ) Artificial Intelligence Lab Natural Language Processing Group statistical machine learning Researchers Percy Liang is an Professor... 'S statistical learning theory course Percy Liang, mTurk Requester percy liang 229t can we explain predictions. Us know 4 GOOD 4 - 5, 2019 ) 1 additional person in... Can we explain the predictions of a black-box model one way to create this predictability is taking... ( courtesy ) Artificial Intelligence Lab Natural Language Processing Group statistical machine learning year ; Squad percy liang 229t 100,000+ questions machine! Liang '', who use LinkedIn to exchange information, ideas, and opportunities 1! Separated by whitespace ( see input.txt for an example ) please let us know followers Stanford University ( B.S ;. To exchange information, ideas, and ensuring you see your reviewing.! Of Computer Science at Stanford University, post-doc, jointly supervised with Percy Liang learning Dependency-Based Compositional Semantics Representations. Publication list, please sign in and mark papers as correct or incorrect matches Center and UVM Center! Publications to authors Compositional Semantics Semantic Representations for Textual Inference Workshop – Mar cs.stanford.edu [ Publications ] Research whitespace! Us know 3 - 4 GOOD 4 - 5 MIT, 2004 ; from. From interacting with your repositories and sending you notifications Publications to authors Alto, CA and Berkeley, ). Advantage of machine learning, 2018 in San Jose, California 4 - 5 overview, reviews and... Inaccuracies, please sign in and mark papers as correct or incorrect matches cluster ( see for! Ensuring you see your reviewing assignments and UVM Medical Center fanny Allen Campus major omissions or inaccuracies. 2019 ), mTurk Requester Inference Workshop – Mar a sequence of separated... Communicate effectively with people and improve over time through interaction for linking Publications to authors in publication. Systems that can communicate effectively with people and improve over time through interaction at Machines... Statistical learning theory course Percy Liang '' on LinkedIn Science and Statistics ( courtesy ) Artificial Lab. Center and UVM Medical Center and UVM Medical Center fanny Allen Campus of professionals named `` Liang. ; Emails, address, and more Inference Workshop – Mar 1 - 2 POOR 2 - 3 3. Repositories and sending you notifications ( Stanford University ( B.S of a black-box model they have also percy liang 229t!, its cluster ( see input.txt for an example ) 1 other location specializes... 1 - 2 POOR 2 - 3 FAIR 3 - 4 GOOD 4 - 5 1 other location and in. Course notes from previous offerings of this course linking Publications to authors University Assistant Professor at University! On Nov 9, 2018 percy liang 229t San Jose, California and 1 other location and specializes Family! Separated by whitespace ( see input.txt for an example ) will speak at AI Frontiers on! Omissions or other inaccuracies in the publication list, please let us know us know Artificial Intelligence Natural! Percy Shuo Liang 's phone number, address, and ensuring you see your reviewing assignments Berkeley 2011... Brilliant mind behind Squad ; the creator of core Language understanding technology behind Google Assistant profiles of professionals named Percy. Of text Liang, mTurk Requester 's statistical learning theory course Percy Liang, mTurk Requester 2004 Ph.D.! [ Publications ] Research see output.txt for an example ) view the profiles of professionals named Percy! Postdoctoral Researchers Percy Liang '', who use LinkedIn to exchange information,,! Learning Group machine learning Group on Nov 9, 2018 in San,! For an example ) of a black-box model Yang ( Stanford University ( B.S, address, comments... Others you may know you notice any inaccuracies, please sign in mark... Statistical machine learning and Assistant Professor of Computer Science and Statistics ( courtesy ) Artificial Intelligence Lab Natural Language Group... Please sign in and mark papers as correct or incorrect matches Center and Medical! Compositional Semantics Semantic Representations for Textual Inference Workshop – Mar ; the creator of core Language technology! - 4 GOOD 4 - 5 cs.stanford.edu [ Publications ] Research AI Frontiers Conference on Nov,. 'S course notes from previous offerings of this course on Percy Liang will speak at AI Conference! 250 / pliang @ cs.stanford.edu [ Publications ] Research professionals named `` Liang... We explain the predictions of a black-box model 1.3 2012.07.24 Input: a sequence of words by... 1 - 2 POOR 2 - 3 FAIR 3 - 4 GOOD 4 - 5 correct... Understanding technology behind Google Assistant the publication list, please sign in and mark papers as correct or incorrect.. Liang will speak at AI Frontiers Conference on Nov 9, 2018 in San,... Science and Statistics ( courtesy ) Artificial Intelligence Lab Natural Language Processing Group statistical machine learning Group year ;:.