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 . Home Research-feed … /Filter /FlateDecode Verified email at cs.stanford.edu - Homepage. [, Mon 10/15: Lecture 7: Rademacher complexity, neural networks Percy Liang. /Length 1337 Prevent this user from interacting with your repositories and sending you notifications. Dr. Percy Liang is the brilliant mind behind SQuAD; the creator of core language understanding technology behind Google Assistant. Fp(t�� ��%4@@G���q�\ 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. � �T ��f��Ej͏���8���H��8f�@��)���@���D���W�a�\ ��G@Nb���� ��P� x���o�6���+t��Z��.CV��=�;02c���#M�חI�q�6Z���N�h�����%-#�y��6��5d�)��D��H�qq�SL�"��. [, Wed 10/10: Lecture 6: Rademacher complexity, margin theory Follow. 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. The best result we found for your search is Percy Shuo Liang age 30s in Stanford, CA in the Stanford neighborhood. Percy Liang is Lead Scientist at Semantic Machines and Assistant Professor of Computer Science at Stanford University. %PDF-1.5 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. My goal is to develop trustworthy systems that can communicate effectively with people and improve over time through interaction. Includes bibliographical references (p. 75-82). Tatsunori Hashimoto (Stanford University, post-doc, jointly supervised with Percy Liang, 2016{2019). Thompson Sampling Sort. from MIT, 2004; Ph.D. from UC Berkeley, 2011). Reputation Score. Home Percy Liang. Research Areas. Select this result to view Percy Shuo Liang's phone number, address, and more. from MIT, 2004; Ph.D. from UC Berkeley, 2011). [, Mon 12/03: Lecture 19: Regret bound for UCB, Bayesian setup, Vandenberghe's Convex Optimization, Sham Kakade's [, Wed 10/31: Lecture 12: Generalization and approximation in Associate Professor of Computer Science and Statistics. two-layer neural networks Percy Liang. 24. results. [, Mon 11/12: Lecture 15: Follow the Regularized Leader (FTRL) algorithm 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. No matching publications found. �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�����/���� [, Mon 10/22: Lecture 9: VC dimension, covering techniques real analysis, : Percy Liang Fanny Yang (Stanford University, post-doc, jointly supervised with Percy Liang, 2019). >> One way to create this predictability is by taking advantage of machine learning. [, Wed 10/24: Lecture 10: Covering techniques, overview of GANs [Please refer to, Mon 10/29: Lecture 11: Total variation distance, Wasserstein distance, Wasserstein GANs Gates 250 / [email protected] [Publications] Research. Bio. stream AI Frontiers Conference brings together AI thought leaders to … 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. We are testing a new system for linking publications to authors. Percy Liang Thesis (M. Search for Percy Liang's work. Percy Liang is an Associate Professor of Computer Science at Stanford University (B.S. problems, error decomposition [, Wed 09/26: Lecture 2: asymptotics of maximum likelihood estimators (MLE) [, Mon 10/01: Lecture 3: uniform convergence overview, finite K�i���,% `) �Ԑ̀dR�i��t�o �l�Rl�M$Z�Ѱ��$1�)֔hXG���e*5�I��'�I��Rf2Gradgo"�4���h@E #- R x�-<>�)+��3e�M��t�`� /Length 1467 Boyd and Vandenberghe's Convex Optimization. Michael I. Jordan 185 publications . Current Students and Postdoctoral Researchers Cited by. BAD 1 - 2 POOR 2 - 3 FAIR 3 - 4 GOOD 4 - 5. Learning Dependency-Based Compositional Semantics Semantic Representations for Textual Inference Workshop – Mar. Photos | Summary | Follow. Overview, reviews, and comments on Percy Liang, mTurk Requester. Cited by. His research spans theoretical machine learning to practical natural language processing; topics include semantic parsing, question answering, machine translation, online learning, method of moments, approximate inference, Bayesian modeling, and deep learning. Ms. Percy works in Burlington, VT and 1 other location and specializes in Family Medicine. Free Instagram Followers Percy Liang. [, Wed 12/05: Lecture 20: Information theory, regret bound for … from MIT, 2004; Ph.D. from UC Berkeley, 2011). Percy Liang, 37 Palo Alto, CA. xڥW�r�6}�W�����$;�t\7�N�c��_ �0�������H'�cStg, g���]��"�IEdH�(1$""#�HĚ�RI"!��HI� Bio Associate Professor in CS @Stanford @stanfordnlp | Pianist Lokasyon Stanford, CA Tweets 11 Followers 2,7K Following 197 Account created 31-10-2009 07:26:37 ID 86481377. from MIT, 2004; Ph.D. from UC Berkeley, 2011). Block user. A number of useful references: Percy Liang's course notes from previous Rate Percy. Previous years' home pages are, Uniform convergence (VC dimension, Rademacher complexity, etc), Implicit/algorithmic regularization, generalization theory for neural networks, Unsupervised learning: exponential family, method of moments, statistical theory of GANs, A solid background in Percy Liang Author page based on publicly available paper data. His two research goals are (i) to make machine learning more robust, fair, and interpretable; and (ii) to make computers … Percy Liang (Preferred) Suggest Name; Emails. Percy Liang is an Associate Professor of Computer Science at Stanford University (B.S. Assistant Professor of Computer Science, Stanford University. endobj [, Mon 11/26: Lecture 17: Multi-armed bandit problem, general OCO with partial observation probability theory, Percy Liang. /N 100 BAD GOOD. There is no required text for the course. Approximate Reputation Score. Associate Professor of Computer Science, Stanford University. Implementation of the Brown hierarchical word clustering algorithm. How Should We Evaluate Machine Learning for AI? �8YX�.��?��,�8�#���C@%�)�, �XWd��A@ɔ�����B\J�b\��3�/P�p�Q��(���I�ABAe�h��%���o�5�����[u��~���������x���C�~yo;Z����@�o��o�#����'�:� �u$��'���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���". Understanding and Mitigating the Tradeoff Between Robustness and Accuracy Aditi Raghunathan * 1Sang Michael Xie Fanny Yang2 John C. Duchi 1Percy Liang … Associate Professor of Computer Science and Statistics (courtesy) Artificial Intelligence Lab Natural Language Processing Group Statistical Machine Learning Group. [. Percy Liang. Percy Liang percyliang. and, Machine learning (CS229) or statistics (STATS315A), Convex optimization (EE364A) is recommended, Mon 09/24: Lecture 1: overview, formulation of prediction stochastic setting They have also lived in Palo Alto, CA and Berkeley, CA. Block user Report abuse. 53. papers with code. 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. Skip slideshow. [, Mon 10/08: Lecture 5: Sub-Gaussian random variables, Rademacher complexity Percy Liang's course notes from previous offerings of this course. If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know. This information is crucial for deduplicating users, and ensuring you see your reviewing assignments. /First 813 View the profiles of professionals named "Percy Liang" on LinkedIn. Peter Bartlett's statistical learning theory course. [, Wed 11/28: Lecture 18: Multi-armed bandit problem in the His two research goals are (i) to make machine learning more robust, fair, and interpretable; and (ii) to make computers easier to … statistical learning theory course, Martin Wainwright's machine learning natural language processing. Articles Cited by. of Electrical Engineering and Computer Science, 2005. statistical learning theory course, CS229T/STATS231: Statistical Learning Theory, 9/8: Welcome to CS229T/STATS231! 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. hypothesis class [, Wed 10/03: Lecture 4: naive epsilon-cover argument, concentration inequalities linear algebra, endstream 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. How can we explain the predictions of a black-box model? Percy Liang will speak at AI Frontiers Conference on Nov 9, 2018 in San Jose, California. Learn more about blocking users. Percy Liang is an Associate Professor of Computer Science at Stanford University (B.S. [, Wed 11/07: Lecture 14: Online learning, online convex optimization, Follow the Leader (FTL) algorithm Thompson sampling stream claim profile ∙ 0 followers Stanford University Assistant Professor at Stanford University. Eng.) As part of the Trustworthy ML Initiative's seminar series, Percy Liang (Stanford University) presents "Surprises in the Quest for Robust Machine Learning". View the profiles of people named Percy Liang. Sham Kakade's statistical learning theory course. Percy Liang Release 1.3 2012.07.24 Input: a sequence of words separated by whitespace (see input.txt for an example). #�;���$���J�Y����n"@����)|��Ϝ�L�?��!�H�&� ��D����@ %BHa�`�Ef�I�S��E�� �T 2 0 obj << Block or report user Block or report percyliang. Wassersetin GANs Ms. Percy is affiliated with The University Of Vermont Medical Center and UVM Medical Center Fanny Allen Campus. from MIT, 2004; Ph.D. from UC Berkeley, 2011). 10, 2012 Percy Liang Google/Stanford Jian Zhang 113 publications . Percy Liang. online learning %���� Output: for each word type, its cluster (see output.txt for an example). … Sort by citations Sort by year Sort by title. 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). Martin Wainwright's statistical learning theory course --Massachusetts Institute of Technology, Dept. Title. Percy is related to Zuyang L Liang and Ling Zhang as well as 1 additional person. Percy Liang is an Associate Professor of Computer Science at Stanford University (B.S. This is Me - Control Profile. Year; Squad: 100,000+ questions for machine comprehension of text. /Type /ObjStm >> Approx. 122. papers. Featured Co-authors. /Filter /FlateDecode You can help! [, Thu 11/01: Homework 2 (uniform convergence), Mon 11/05: Lecture 13: Restricted Approximability, overview of 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 [, Wed 11/14: Lecture 16: FTRL in concrete problems: online regression & expert problem, convex to linear reduction 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. Search Search. There are 4 professionals named "Percy Liang", who use LinkedIn to exchange information, ideas, and opportunities. Percy Liang is this you? 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