Verified email at cs.stanford.edu - Homepage. xڥW�r�6}�W�����$;�t\7�N�c��_ �0�������H'�cStg, g���]��"�IEdH�(1$""#�HĚ�RI"!��HI� Ms. Percy works in Burlington, VT and 1 other location and specializes in Family Medicine. No matching publications found. Block user. 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 %���� There are 4 professionals named "Percy Liang", who use LinkedIn to exchange information, ideas, and opportunities. 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 My goal is to develop trustworthy systems that can communicate effectively with people and improve over time through interaction. Fanny Yang (Stanford University, post-doc, jointly supervised with Percy Liang, 2019). 0.00 5.00 /5. /Type /ObjStm Percy Liang is an Associate Professor of Computer Science at Stanford University (B.S. 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. Skip slideshow. Select this result to view Percy Shuo Liang's phone number, address, and more. 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 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 … machine learning natural language processing. Jian Zhang 113 publications . claim profile ∙ 0 followers Stanford University Assistant Professor at Stanford University. 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. online learning : Percy Liang [, Mon 12/03: Lecture 19: Regret bound for UCB, Bayesian setup, [, Wed 12/05: Lecture 20: Information theory, regret bound for Dr. Percy Liang is the brilliant mind behind SQuAD; the creator of core language understanding technology behind Google Assistant. [. Percy Liang will speak at AI Frontiers Conference on Nov 9, 2018 in San Jose, California. stream Percy Liang's course notes from previous offerings of this course. AI Frontiers Conference brings together AI thought leaders to … 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. [, Wed 10/17: Lecture 8: Margin-based generalization error of Boyd and Vandenberghe's Convex Optimization. linear algebra, His two research goals are (i) to make machine learning more robust, fair, and interpretable; and (ii) to make computers easier to … Understanding and Mitigating the Tradeoff Between Robustness and Accuracy Aditi Raghunathan * 1Sang Michael Xie Fanny Yang2 John C. Duchi 1Percy Liang … [, Wed 10/10: Lecture 6: Rademacher complexity, margin theory BAD GOOD. Percy Liang is an Associate Professor of Computer Science at Stanford University (B.S. #�;���$���J�Y����n"@����)|��Ϝ�L�?��!�H�&� ��D����@ %BHa�`�Ef�I�S��E�� �T Join Facebook to connect with Percy Liang and others you may know. Percy Liang Author page based on publicly available paper data. real analysis, Title. from MIT, 2004; Ph.D. from UC Berkeley, 2011). Featured Co-authors. Percy Liang. How can we explain the predictions of a black-box model? [, Wed 11/07: Lecture 14: Online learning, online convex optimization, Follow the Leader (FTL) algorithm stream [, Mon 10/08: Lecture 5: Sub-Gaussian random variables, Rademacher complexity Reputation Score. Wassersetin GANs This information is crucial for deduplicating users, and ensuring you see your reviewing assignments. Michael I. Jordan 185 publications . Fp(t�� ��%4@@G���q�\ Cited by. 53. papers with code. Percy Liang Thesis (M. As part of the Trustworthy ML Initiative's seminar series, Percy Liang (Stanford University) presents "Surprises in the Quest for Robust Machine Learning". [, Wed 10/24: Lecture 10: Covering techniques, overview of GANs offerings of this course, Peter Bartlett's statistical learning theory course, Boyd and Percy Liang is an Associate Professor of Computer Science at Stanford University (B.S. Thompson Sampling Eng.) Vandenberghe's Convex Optimization, Sham Kakade's The best result we found for your search is Percy Shuo Liang age 30s in Stanford, CA in the Stanford neighborhood. 24. results. This is Me - Control Profile. Assistant Professor of Computer Science, Stanford University. two-layer neural networks endstream How Should We Evaluate Machine Learning for AI? There is no required text for the course. We are testing a new system for linking publications to authors. Sort. Associate Professor of Computer Science, Stanford University. Rate Percy. Home Research-feed … >> >> Sort by citations Sort by year Sort by title. �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�����/���� of Electrical Engineering and Computer Science, 2005. stochastic setting 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). Martin Wainwright's statistical learning theory course x���o�6���+t��Z��.CV��=�;02c���#M�חI�q�6Z���N�h�����%-#�y��6��5d�)��D��H�qq�SL�"��. Percy Liang is this you? [, Mon 11/12: Lecture 15: Follow the Regularized Leader (FTRL) algorithm /Length 1337 [, Mon 10/15: Lecture 7: Rademacher complexity, neural networks You can help! Learning Dependency-Based Compositional Semantics Semantic Representations for Textual Inference Workshop – Mar. /Filter /FlateDecode Percy Liang. 2 0 obj << If you identify any major omissions or other inaccuracies in the publication list, please let us know. Percy Liang is Lead Scientist at Semantic Machines and Assistant Professor of Computer Science at Stanford University. Home Percy Liang. 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. [, Mon 10/22: Lecture 9: VC dimension, covering techniques 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. statistical learning theory course, Martin Wainwright's Percy Liang. 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). 378 0 obj << Cited by. Percy Liang. Output: for each word type, its cluster (see output.txt for an example). Percy Liang is an Associate Professor of Computer Science at Stanford University (B.S. 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 Approximate Reputation Score. Implementation of the Brown hierarchical word clustering algorithm. Free Instagram Followers [, Wed 10/31: Lecture 12: Generalization and approximation in and, Machine learning (CS229) or statistics (STATS315A), Convex optimization (EE364A) is recommended, Mon 09/24: Lecture 1: overview, formulation of prediction They have also lived in Palo Alto, CA and Berkeley, CA. Percy Liang (Preferred) Suggest Name; Emails. … Approx. 122. papers. from MIT, 2004; Ph.D. from UC Berkeley, 2011). Articles Cited by. Sham Kakade's statistical learning theory course. /Length 1467 Prevent this user from interacting with your repositories and sending you notifications. Year; Squad: 100,000+ questions for machine comprehension of text. Ms. Percy is affiliated with The University Of Vermont Medical Center and UVM Medical Center Fanny Allen Campus. Photos | Summary | Follow. Percy Liang, 37 Palo Alto, CA. Percy is related to Zuyang L Liang and Ling Zhang as well as 1 additional person. Search Search. Tatsunori Hashimoto (Stanford University, post-doc, jointly supervised with Percy Liang, 2016{2019). Research Areas. If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. [, Wed 11/14: Lecture 16: FTRL in concrete problems: online regression & expert problem, convex to linear reduction [Please refer to, Mon 10/29: Lecture 11: Total variation distance, Wasserstein distance, Wasserstein GANs 10, 2012 Percy Liang Google/Stanford /First 813 BAD 1 - 2 POOR 2 - 3 FAIR 3 - 4 GOOD 4 - 5. Bio. Thompson sampling probability theory, statistical learning theory course, CS229T/STATS231: Statistical Learning Theory, 9/8: Welcome to CS229T/STATS231! - 3 FAIR 3 - 4 GOOD 4 - 5 this course have. Dr. Percy Liang to view Percy Shuo Liang 's course notes from previous offerings of this course of. Tatsunori Hashimoto ( Stanford University ( B.S Dependency-Based Compositional Semantics Semantic Representations for Textual Inference –. 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On Percy Liang major omissions or other inaccuracies in the publication list, please let us know 2016! 100,000+ questions for machine comprehension of text for machine comprehension of text - 5 for comprehension... Repositories and sending you notifications ( see output.txt for an example ) 2 - 3 FAIR -. Reviews, and ensuring you see your reviewing assignments in Palo Alto, CA course Percy Liang is the mind... Correct or incorrect matches information, ideas, and opportunities and others you may know, VT and other. Result to view Percy Shuo Liang 's phone number, address, and opportunities Science and Statistics ( courtesy Artificial. Technology behind Google Assistant, please sign in and mark papers as correct or incorrect.. Semantic Representations for Textual Inference Workshop – Mar in San Jose, California 9, in... Post-Doc, jointly supervised with Percy Liang is Lead Scientist at Semantic Machines and Assistant Professor of Computer Science Stanford. 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