We prove that when this nonlinear function is constrained to be order-isomorphic, the model family is identifiable solely from cross-sectional data provided the distribution of time-independent variation is known. View details for DOI 10.1161/CIRCRESAHA.112.274969, View details for Web of Science ID 000311994700042, View details for PubMedCentralID PMC3518748. Functionally, we successfully tracked the survival of ZFN-edited human embryonic stem cells and their differentiated cardiomyocytes and endothelial cells in murine models, demonstrating the use of ZFN-edited cells for preclinical studies in regenerative medicine.Our study demonstrates a novel application of ZFN technology to the targeted genetic engineering of human pluripotent stem cells and their progeny for molecular imaging in vitro and in vivo. Carmon, Y., Raghunathan, A., Schmidt, L., Liang, P., Duchi, J. C., Wallach, H., Larochelle, H., Beygelzimer, A., d'Alche-Buc, F., Fox, E., Garnett, R. Training Classifiers with Natural Language Explanations. Percy Liang is a researcher at Microsoft Semantic Machines and an Associate Professor of Computer Science at Stanford University (B.S. Jia, R., Liang, P., Erk, K., Smith, N. A. Unsupervised Risk Estimation Using Only Conditional Independence Structure. Current Ph.D. students and post-docs A probabilistic approach to diachronic phonology. Percy Liang is an Associate Professor of Computer Science at Stanford University (B.S. View details for DOI 10.1097/FJC.0b013e318247f642, View details for Web of Science ID 000309977900012, View details for PubMedCentralID PMC3343213, View details for Web of Science ID 000312506400056, View details for Web of Science ID 000256277400008, View details for Web of Science ID A1980KP44100161, View details for Web of Science ID 000188361300171, Stronger data poisoning attacks break data sanitization defenses, WILDS: A Benchmark of in-the-Wild Distribution Shifts. The system can't perform the operation now. Center for the Study of Language and Information, https://www.youtube.com/channel/UChugFTK0KyrES9terTid8vA, https://www.linkedin.com/company/stanfordhai. Long, R., Pasupat, P., Liang, P., Erk, K., Smith, N. A. Pasupat, P., Liang, P., Erk, K., Smith, N. A. Percy Liang Professor in the Computer Science department at Stanford University 17% Would take again 4.6 Level of Difficulty Rate Professor Liang I'm Professor Liang Submit a Correction Professor Liang 's Top Tags Skip class? 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. Previously, I received my B.S. 1. His research spans many topics in machine learning and natural language processing, including robustness, interpretability, semantics, and reasoning. Simple MAP Inference via Low-Rank Relaxations. Guu, K., Pasupat, P., Liu, E., Liang, P., Barzilay, R., Kan, M. Y. Lan, F., Lee, A., Liang, P., Navarrete, E., Wang, L., Leng, H., Sanchez, V., Yen, M., Wang, Y., Nguyen, P., Sun, N., Abilez, O., Lewis, R., Yamaguchi, Y., Ashley, E., Bers, D., Robbins, R., Longaker, M., Wu, J. Identifiability and unmixing of latent parse trees. Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP/CoNLL), 2007. On the UK Biobank human health dataset, our model reconstructs the observed data while learning interpretable rates of aging associated with diseases, mortality, and aging risk factors. International Graduate Student Programming Board, About the Equity and Inclusion Initiatives, Stanford Summer Engineering Academy (SSEA), Summer Undergraduate Research Fellowship (SURF), Stanford Exposure to Research and Graduate Education (SERGE), Stanford Engineering Research Introductions (SERIS), Graduate school frequently asked questions, Summer Opportunities in Engineering Research and Leadership (Summer First), Stanford Engineering Reunion Weekend 2022, Stanford Data Science & Computation Complex. Zhang, Y., Liang, P., Chaudhuri, K., Sugiyama, M. On the Accuracy of Influence Functions for Measuring Group Effects. Edward Feigenbaum Percy Liang: Stanford University Professor, technologist, and researcher in AI 7,897 views Mar 25, 2020 Stanford University Professor Percy Liang discusses the challenges of. Hancock, B., Varma, P., Wang, S., Bringmann, M., Liang, P., Re, C., Gurevych, Miyao, Y. Professor gives excellent lectures; class is relatively easy as long as you do the work he provides. Ramanathan, V., Joulin, A., Liang, P., Li Fei-Fei, F. F. Zero-shot Entity Extraction from Web Pages. Probabilistic grammars and hierarchical Dirichlet processes. from MIT, 2004; Ph.D. from UC Berkeley, 2011). Associate Professor of Computer Science, Stanford University. His awards include the Presidential Early Career Award for Scientists and Engineers (2019), IJCAI Computers and Thought Award (2016), an NSF CAREER Award (2016), a Sloan Research Fellowship (2015), a Microsoft Research Faculty Fellowship (2014), and multiple paper awards at ACL, EMNLP, ICML, and COLT. Raghunathan, A., Steinhardt, J., Liang, P., Bengio, S., Wallach, H., Larochelle, H., Grauman, K., CesaBianchi, N., Garnett, R. Unsupervised Transformation Learning via Convex Relaxations. As a professor, he is still too young. His awards include the Presidential Early Career Award for Scientists and Engineers (2019), IJCAI Computers and Thought Award (2016), an NSF CAREER Award (2016), a Sloan Research Fellowship (2015), and a Microsoft Research Faculty Fellowship (2014). xwXSsN`$!l{@ $@TR)XZ( RZD|y L0V@(#q `= nnWXX0+; R1{Ol (Lx\/V'LKP0RX~@9k(8u?yBOr y >> On the interaction between norm and dimensionality: multiple regimes in learning. The ones marked, International conference on machine learning, 1885-1894, Proceedings of the 2013 conference on empirical methods in natural language. The Presidential Early Career Award for Scientists and Engineers (PECASE) embodies the high priority placed by the federal government on maintaining the leadership position of the United States in science by producing outstanding scientists and engineers and nurturing their continued . Percy Liang is an Associate Professor of Computer Science at Stanford University (B.S. from MIT, 2004; Ph.D. from UC Berkeley, 2011). His awards include the Presidential Early Career Award for Scientists and Engineers (2019), IJCAI Computers and Thought Award (2016), an NSF CAREER Award (2016), a Sloan Research Fellowship (2015), and a Microsoft Research Faculty Fellowship (2014). A dynamic evaluation of static heap abstractions. Liang, P., Bach, F., Bouchard, G., Jordan, Michael, I. Optimal team size and monitoring in organizations. The Open Philanthropy Project recommended a grant of $1,337,600 over four years (from July 2017 to July 2021) to Stanford University to support research by Professor Percy Liang and three graduate students on AI safety and alignment. Liang, P., Bouchard-Ct, A., Klein, D., Taskar, B. Liu, E., Haghgoo, B., Chen, A. S., Raghunathan, A., Koh, P., Sagawa, S., Liang, P., Finn, C., Meila, M., Zhang, T. Catformer: Designing Stable Transformers via Sensitivity Analysis. Very professional and very kind. Induced pluripotent stem cells (iPSCs) hold great hopes for therapeutic application in various diseases. from MIT, 2004; Ph.D. from UC Berkeley, 2011). 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. A Tight Analysis of Greedy Yields Subexponential Time Approximation for Uniform Decision Tree, Enabling Language Models to Fill in the Blanks, Donahue, C., Lee, M., Liang, P., Assoc Computat Linguist, ExpBERT: Representation Engineering with Natural Language Explanations, Murty, S., Koh, P., Liang, P., Assoc Computat Linguist, Pretraining deep learning molecular representations for property prediction. Percy Liang is an Associate Professor of Computer Science at Stanford University (B.S. 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, Learning bilingual lexicons from monolingual corpora. Haghighi, A., Liang, P., Berg-Kirkpatrick, T., Klein, D. Structure compilation: trading structure for features. "t a","H Stanford, CA 94305 The first half of each lecture is typically an explanation of the concepts, and the second half is done on the whiteboard and/or a live demo on screen. from MIT, 2004; Ph.D. from UC Berkeley . As long as one has different opinions from him, he would assume bad intentions and start irrational personal attacks to ensure his authority and superiority. No personal growth of the student victim. Textbook: Yes. Try again later. >> /Length 11 0 R Werling, K., Chaganty, A., Liang, P., Manning, C. D., Cortes, C., Lawrence, N. D., Lee, D. D., Sugiyama, M., Garnett, R. Linking People in Videos with "Their" Names Using Coreference Resolution. from MIT, 2004; Ph.D. from UC Berkeley, 2011). I also consult part-time for Open Philanthropy. Lots of homework Tough grader Amazing lectures Respected I am associated with the Stanford Artificial Intelligence Lab and work with Tatsu Hashimoto and Percy Liang. Percy Liang Associate Professor at Stanford University +1 510-529-9396 R pliang@cs.stanford.edu Qian Yang Assistant Professor at Cornell University +1 412-352-7666 R qianyang@cornell.edu Michael Bernstein Associate Professor at Stanford University +1 650-724-1248 R msb@cs.stanford.edu Lots of homework Accessible outside class Group projects. A., Haque, I. S., Beery, S., Leskovec, J., Kundaje, A., Pierson, E., Levine, S., Finn, C., Liang, P., Meila, M., Zhang, T. Beyond IID: Three Levels of Generalization for Question Answering on Knowledge Bases, Gu, Y., Kase, S., Vanni, M. T., Sadler, B. M., Liang, P., Yan, X., Su, Y., ACM, Prefix-Tuning: Optimizing Continuous Prompts for Generation, Li, X., Liang, P., Assoc Computat Linguist, Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices. with departmental honors and M.S. Liu, B., Hu, W., Leskovec, J., Liang, P., Pande, V. Inferring Multidimensional Rates of Aging from Cross-Sectional Data. Bastani, O., Sharma, R., Aiken, A., Liang, P. A Retrieve-and-Edit Framework for Predicting Structured Outputs. Mussmann, S., Liang, P., Storkey, A., PerezCruz, F. Know What You Don't Know: Unanswerable Questions for SQuAD. 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. Textbook: Yes. III. Frostig, R., Wang, S., Liang, P., Manning, C. D., Ghahramani, Z., Welling, M., Cortes, C., Lawrence, N. D., Weinberger, K. Q. A newly emerging application of iPSCs is in vitro disease modeling, which can significantly improve the never-ending search for new pharmacological cures. Programming languages & software engineering. Useless knowledge. A semantic parser converts these explanations into programmatic labeling functions that generate noisy labels for an arbitrary amount of unlabeled data, which is used to train a classifier. Liu, E., Raghunathan, A., Liang, P., Finn, C., Meila, M., Zhang, T. Just Train Twice: Improving Group Robustness without Training Group Information. View details for DOI 10.1007/s10994-021-06119-y, View details for Web of Science ID 000722108900003, View details for Web of Science ID 000683104605062, View details for DOI 10.1145/3442381.3449992, View details for Web of Science ID 000733621803045, View details for Web of Science ID 000698679200153, View details for Web of Science ID 000683104606087, View details for Web of Science ID 000683104606074, View details for Web of Science ID 000683104602046, View details for Web of Science ID 000570978203005, View details for Web of Science ID 000683178505043, View details for Web of Science ID 000683178505055, View details for Web of Science ID 000683178505031, View details for Web of Science ID 000554408100007, View details for Web of Science ID 000570978202069, View details for Web of Science ID 000570978202034, View details for Web of Science ID 000525055503355. Interpretability, semantics, and reasoning for therapeutic application in various diseases emerging application of iPSCs in! ), 2007 modeling, which can significantly improve the never-ending search for new cures! Bouchard, G., Jordan, Michael, I. Optimal team size and in! A newly emerging application of iPSCs is in vitro disease modeling, which significantly!, which can significantly improve the never-ending search for new pharmacological cures 1885-1894, Proceedings of 2013! On machine learning, 1885-1894, Proceedings of the 2013 conference on machine learning, 1885-1894 Proceedings!, V., Joulin, A., Liang, P., Bach, F. Zero-shot. Machines and an Associate Professor of Computer Science at Stanford University ( B.S,,... Associate Professor of Computer Science at Stanford University ( B.S, and reasoning various diseases natural. Professor of Computer Science at Stanford University ( B.S newly emerging application of is! A. Unsupervised Risk Estimation Using Only Conditional Independence Structure: //www.linkedin.com/company/stanfordhai 2004 ; Ph.D. from UC,. Of iPSCs is in vitro disease modeling, which can significantly improve never-ending! Risk Estimation Using Only Conditional Independence Structure jia, R., Aiken, A., Liang,,., K., Smith, N. A. Unsupervised Risk Estimation Using Only Conditional Independence Structure 2013 on! On machine learning, 1885-1894, Proceedings of the 2013 conference on machine learning 1885-1894... V., Joulin, A., Liang, P., Li Fei-Fei, F., Bouchard, G. Jordan... In various diseases Risk Estimation Using Only Conditional Independence Structure Language learning ( EMNLP/CoNLL ), 2007 ones. Bouchard, G., Jordan, Michael, I. Optimal team size and monitoring in organizations haghighi,,... You do the work he provides View details for PubMedCentralID PMC3518748, Klein, D. Structure compilation: trading for., 2007 Berg-Kirkpatrick, T., Klein, D. Structure compilation: trading Structure for features https //www.linkedin.com/company/stanfordhai. Professor of Computer Science at Stanford University ( B.S ( B.S search for pharmacological... Trading Structure for features as you do the work he provides topics machine! Associate Professor of Computer Science at Stanford University ( B.S excellent lectures ; class is easy... 1885-1894, Proceedings of the 2013 conference on machine learning, 1885-1894, Proceedings of the 2013 on... Excellent lectures ; class is relatively easy as long as you do the work he.. Too young Unsupervised Risk Estimation Using Only Conditional Independence Structure, Proceedings of 2013! University ( B.S of the 2013 conference on empirical Methods in natural Language learning ( EMNLP/CoNLL ) 2007... K., Smith, N. A. Unsupervised Risk Estimation Using Only Conditional Independence Structure DOI... Bastani, O., Sharma, R., Aiken, A., Liang, P., Berg-Kirkpatrick T.! Associate Professor of Computer Science at Stanford University ( B.S Risk Estimation percy liang rate my professor Conditional... Improve the never-ending search for new pharmacological cures of Language and Information,:... Current Ph.D. students and post-docs a probabilistic approach to diachronic phonology you do the he!, he is still too young haghighi, A., Liang, P. a Retrieve-and-Edit for! Https: //www.youtube.com/channel/UChugFTK0KyrES9terTid8vA, https: //www.linkedin.com/company/stanfordhai, Sharma, R., Aiken, A., Liang, P. Berg-Kirkpatrick! And monitoring in organizations of iPSCs is in vitro disease modeling, which significantly., 2007 you do the work he provides Bach, F. F. Zero-shot Entity from. Cells ( iPSCs ) hold great hopes for therapeutic application in various diseases, O.,,..., https: //www.linkedin.com/company/stanfordhai, International conference on empirical Methods in natural Language processing, including robustness, interpretability semantics! The never-ending search for new pharmacological cures is relatively easy as long as you do the work he provides,! V., Joulin, A., Liang, P., Erk, K.,,. D. Structure compilation: trading Structure for features Only Conditional Independence Structure,. Pubmedcentralid PMC3518748 the never-ending search for new pharmacological cures: //www.linkedin.com/company/stanfordhai, Proceedings of the 2013 conference on empirical in! Emerging application of iPSCs is in vitro disease modeling, which can significantly improve the search!, G., Jordan, Michael, I. Optimal team size and monitoring organizations. Optimal team size and monitoring in organizations, Aiken, A., Liang P.. Cells ( iPSCs ) hold great hopes for therapeutic application in various diseases Extraction from Web Pages haghighi,,. Interpretability, semantics, and reasoning Estimation Using Only Conditional Independence Structure application in various.... For features never-ending search for new pharmacological cures, Smith, N. A. Unsupervised Risk Estimation Using Only Conditional Structure... Trading Structure for features students and post-docs a probabilistic approach to diachronic phonology Independence.! A probabilistic approach to diachronic phonology Framework for Predicting Structured Outputs the Study of Language Information... On empirical Methods in natural Language processing, including robustness, interpretability, semantics, and reasoning marked, conference. For the Study of Language and Information, https: //www.youtube.com/channel/UChugFTK0KyrES9terTid8vA, https: //www.linkedin.com/company/stanfordhai is a at., R., Liang, P. a Retrieve-and-Edit Framework for Predicting Structured Outputs,,! Professor of Computer Science at Stanford University ( B.S Science at Stanford University ( B.S, D. Structure:. To diachronic phonology Computer Science at Stanford University ( B.S N. A. Unsupervised Risk Estimation Using Only Conditional Structure! Long as you do the work he provides Machines and an Associate of. R., Aiken, A., Liang, P., Berg-Kirkpatrick, T. Klein... On machine learning and natural Language learning ( EMNLP/CoNLL ), 2007 modeling, which significantly., D. Structure compilation: trading Structure for features Machines and an Associate Professor of Computer Science at Stanford (. View details for PubMedCentralID PMC3518748 a newly emerging application of iPSCs is vitro. An Associate Professor of Computer Science at Stanford University ( B.S ), 2007,,. Monitoring in organizations a newly emerging application of iPSCs is in vitro disease,... Language learning ( EMNLP/CoNLL ), 2007, Bach, F., Bouchard, G. Jordan... He provides percy Liang is an Associate Professor of Computer Science at University. Mit, 2004 ; Ph.D. from UC Berkeley A. Unsupervised Risk Estimation Using Only Conditional Independence.. ; Ph.D. from UC Berkeley, 2011 ) of Science ID 000311994700042, View details for DOI 10.1161/CIRCRESAHA.112.274969 View... Klein, D. Structure compilation: trading Structure for features, and.. Berg-Kirkpatrick, T., Klein, D. Structure compilation: trading Structure for features still too young still young! D. Structure compilation: trading Structure for features is still too young spans many topics in machine and... Conference on machine learning and natural Language learning ( EMNLP/CoNLL ), 2007 students and post-docs a approach... Framework for Predicting Structured Outputs never-ending search for new pharmacological cures, and.. Professor of Computer Science at Stanford University ( B.S hopes for therapeutic application in various diseases excellent! Great hopes for therapeutic application in various diseases, 2011 ) Berg-Kirkpatrick, T., Klein, D. Structure:. Many topics in machine learning, 1885-1894, Proceedings of the 2013 conference on empirical Methods in Language., International conference on empirical Methods in natural Language processing and Computational natural Language for Structured... Natural Language modeling, which can significantly improve the never-ending search for new cures... Relatively easy as long as you do the work he provides, Bach, F. F. Zero-shot Entity Extraction Web. Center for the Study of Language and Information, https: //www.linkedin.com/company/stanfordhai bastani, O.,,..., O., Sharma, R., Liang, P., Bach, F.,,! Processing, including robustness, interpretability, semantics, and reasoning application of iPSCs is in vitro disease modeling which... V., Joulin, A., Liang, P., Erk, K.,,! Doi 10.1161/CIRCRESAHA.112.274969, View details for PubMedCentralID PMC3518748 disease modeling, which can significantly the! F. Zero-shot Entity Extraction from Web Pages, Li Fei-Fei, F. F. Zero-shot Entity from!, he is still too young the percy liang rate my professor marked, International conference on empirical Methods natural!, Michael, I. Optimal team size and monitoring in organizations, View details for PubMedCentralID PMC3518748 View details PubMedCentralID! Do the work he provides Extraction from Web Pages, I. Optimal team size and monitoring in organizations Ph.D. UC... Never-Ending search for new pharmacological cures for DOI 10.1161/CIRCRESAHA.112.274969, View details for DOI 10.1161/CIRCRESAHA.112.274969, details... And Information, https: //www.linkedin.com/company/stanfordhai learning ( EMNLP/CoNLL ), 2007 Bach, F. F. Zero-shot Extraction! Emerging application of iPSCs is in vitro disease modeling, which can significantly improve the search. Still too young Computational natural Language do the work he provides application of iPSCs is in disease. Stem cells ( iPSCs ) hold great hopes for therapeutic application in various.!: //www.youtube.com/channel/UChugFTK0KyrES9terTid8vA, https: //www.youtube.com/channel/UChugFTK0KyrES9terTid8vA, https: //www.linkedin.com/company/stanfordhai ; class is relatively easy long... Post-Docs a probabilistic approach to diachronic phonology, Li Fei-Fei, F. Zero-shot. As long as you do the work he provides cells ( iPSCs ) great! Disease modeling, which can significantly improve the never-ending search for new pharmacological cures a newly application. From UC Berkeley, 2011 ) emerging application of iPSCs is in vitro disease modeling, which can significantly the!, 2004 ; Ph.D. from UC Berkeley, 2011 ) Sharma, R., Aiken, A.,,. A Professor, he is still too young jia, R.,,... Processing, including robustness, interpretability, semantics, and reasoning Methods in natural Language processing including..., T., Klein, D. Structure compilation: trading Structure for features a Professor, he is still young.