percy liang rate my professor

Center for the Study of Language and Information, https://www.youtube.com/channel/UChugFTK0KyrES9terTid8vA, https://www.linkedin.com/company/stanfordhai. 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. PW Koh, S Sagawa, H Marklund, SM Xie, M Zhang, A Balsubramani, International Conference on Machine Learning, 5637-5664, Advances in neural information processing systems 30, E Choi, H He, M Iyyer, M Yatskar, W Yih, Y Choi, P Liang, L Zettlemoyer, Y Carmon, A Raghunathan, L Schmidt, JC Duchi, PS Liang, Advances in neural information processing systems 32, New articles related to this author's research, Squad: 100,000+ questions for machine comprehension of text, Understanding black-box predictions via influence functions, Know what you don't know: Unanswerable questions for SQuAD, Semantic parsing on freebase from question-answer pairs, Adversarial examples for evaluating reading comprehension systems, Prefix-tuning: Optimizing continuous prompts for generation, On the opportunities and risks of foundation models, Certified defenses against adversarial examples, Distributionally robust neural networks for group shifts: On the importance of regularization for worst-case generalization, Strategies for pre-training graph neural networks, Learning dependency-based compositional semantics, Dropout training as adaptive regularization, Wilds: A benchmark of in-the-wild distribution shifts, Certified defenses for data poisoning attacks, Unlabeled data improves adversarial robustness, Compositional semantic parsing on semi-structured tables, Delete, retrieve, generate: a simple approach to sentiment and style transfer. Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP/CoNLL), 2007. {{{;}#q8?\. Rate My Professors Enter your school to get started I'd like to look up a professor by name Join the RMP Family Love RMP? Percy Liang is a researcher at Microsoft Semantic Machines and an Associate Professor of Computer Science at Stanford University (B.S. Pierson, E., Koh, P. W., Hashimoto, T., Koller, D., Leskovec, J., Eriksson, N., Liang, P. Kulal, S., Pasupat, P., Chandra, K., Lee, M., Padon, O., Aiken, A., Liang, P., Wallach, H., Larochelle, H., Beygelzimer, A., d'Alche-Buc, F., Fox, E., Garnett, R. NEURAL INFORMATION PROCESSING SYSTEMS (NIPS). Koh, P., Nguyen, T., Tang, Y., Mussmann, S., Pierson, E., Kim, B., Liang, P., Daume, H., Singh, A. Liang, P., Bouchard-Ct, A., Klein, D., Taskar, B. endobj The infinite PCFG using hierarchical Dirichlet processes. Percy Liang Associate Professor of Computer Scienceand Statistics (courtesy)Human-Centered Artificial Intelligence (HAI)Artificial Intelligence LabNatural Language Processing GroupMachine Learning GroupCenter for Research on Foundation Models (CRFM), director Gates 350 / pliang@cs.stanford.edu [Publications] [CodaLab] [sfig] 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). Stanford, CA 94305Phone: (650) 721-4369datasciencemajor-inquiries [at] lists.stanford.eduCampus Map, Associate Professor of Computer Science and, by courtesy, of Statistics. Structured Bayesian nonparametric models with variational inference (tutorial). Molecular imaging has proven to be a vital tool in the characterization of stem cell behavior in vivo. Linear programming in bounded tree-width Markov networks. Public humiliation, yelling, or sarcasm to others happens sometimes. Associate Professor of Computer Science, Stanford University - Cited by 38,800 - machine learning - natural language processing . Percy Liang is an Associate Professor of Computer Science at Stanford University (B.S. Bommassani, Percy Liang, & Tony Lee, 'Language Models are Changing AI: The Need for Holistic Evaluation.' 12 OpenAI described weaponization risks of GPT-4 on p.12 of the "GPT-4 System Card." 13 See, e.g., the following benchmark for assessing adverse behaviors including power-seeking, disutility, and ethical violations: An asymptotic analysis of generative, discriminative, and pseudolikelihood estimators. in Computer Science from Stanford in 2017, where I am grateful to have worked with Stefano Ermon on machine learning methods for sustainability, particularly in poverty mapping using satellite imagery. Probabilistic grammars and hierarchical Dirichlet processes. 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. 475 Via Ortega Percy Liang is now Lead Scientist at Semantic Machines, and a Professor of Computer Science at Stanford University. As a graduate student, I was very fortunate to be advised by Percy Liang. Try again later. 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. Khani, F., Rinard, M., Liang, P., Erk, K., Smith, N. A. Wager, S., Fithian, W., Liang, P., Hazan, T., Papandreou, G., Tarlow, D. Bringing Machine Learning and Compositional Semantics Together, Tensor Factorization via Matrix Factorization. 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). "FV %H"Hr ![EE1PL* rP+PPT/j5&uVhWt :G+MvY c0 L& 9cX& Let's make it official. 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. rl1 MI #~__ Q$.R$sg%f,a6GTLEQ!/B)EogEA?l kJ^- \?l{ P&d\EAt{6~/fJq2bFn6g0O"yD|TyED0Ok-\~[`|4P,w\A8vD$+)%@P4 0L ` ,\@2R 4f Pasupat, P., Liang, P., Zong, C., Strube, M. Steinhardt, J., Liang, P., Cortes, C., Lawrence, N. D., Lee, D. D., Sugiyama, M., Garnett, R. Kuleshov, V., Liang, P., Cortes, C., Lawrence, N. D., Lee, D. D., Sugiyama, M., Garnett, R. Estimating Mixture Models via Mixtures of Polynomials. Liu, E., Raghunathan, A., Liang, P., Finn, C., Meila, M., Zhang, T. Just Train Twice: Improving Group Robustness without Training Group Information. Lots of homework Accessible outside class Group projects. Stanford University Professor Percy Liang discusses the challenges of conversational AI and the latest leading-edge efforts to enable people to speak naturally with computers. Percy Liang. Kuleshov, V., Chaganty, A., Liang, P., Lebanon, G., Vishwanathan, S. V. Learning Where to Sample in Structured Prediction. He, H., Balakrishnan, A., Eric, M., Liang, P., Barzilay, R., Kan, M. Y. Naturalizing a Programming Language via Interactive Learning. The system can't perform the operation now. 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? Wager, S., Fithian, W., Wang, S., Liang, P., Ghahramani, Z., Welling, M., Cortes, C., Lawrence, N. D., Weinberger, K. Q. Induced pluripotent stem cells (iPSCs) hold great hopes for therapeutic application in various diseases. My research interests lie at the intersection of Machine Learning and Statistics. 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. Putting Numbers in Perspective with Compositional Descriptions. O! Percy Liang Director, Center for Research on Foundation Models, Associate Professor of Computer Science, Stanford University The #AIIndex2023 launches soon, so sign up for our newsletter to make sure you see it first: https://mailchi.mp/stanford.edu/ai-index-2023 @StanfordHAI 05:05PM - Mar 22, 2023 @StanfordHAI 05:01PM - Mar 22, 2023 @StanfordHAI His research seeks to develop trustworthy systems that can communicate effectively with people and improve over time through interaction.For more information about the workshop, visit:https://wiki.santafe.edu/index.php/Embodied,_Situated,_and_Grounded_Intelligence:_Implications_for_AIFor more information about the Foundations of Intelligence Project, visit:http://intelligence.santafe.eduLearn more at https://santafe.eduFollow us on social media:https://twitter.com/sfisciencehttps://instagram.com/sfisciencehttps://facebook.com/santafeinstitutehttps://facebook.com/groups/santafeinstitutehttps://linkedin.com/company/santafeinstituteSubscribe to SFI's official podcasts:https://complexity.simplecast.comhttps://aliencrashsite.org Liang, P., Narasimhan, M., Shilman, M., Viola, P. Methods and experiments with bounded tree-width Markov networks. Make sure to do your case briefs since it is 30% of your grade, and he even explains the subject on the midterm, so you know what you have to study. Alexandre Bouchard-Ct, Percy Liang, Tom Griffiths, Dan Klein. roughly $320,000 to $350,000 per year). Wang, S., Wang, M., Wager, S., Liang, P., Manning, C. Video Event Understanding using Natural Language Descriptions. 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. He is very polite, knowledgable, such a job to listen. 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. Percy Liang is an Associate Professor of Computer Science and Statistics at Stanford University. If you wanna learn about accounting, Prof Liang has quite a lot of optional accounting exercises. Training Classifiers with Natural Language Explanations. I like ultimate frisbee, power lifting, and indoor bouldering. Pierson, E., Koh, P., Hashimoto, T., Koller, D., Leskovec, J., Eriksson, N., Liang, P., Chaudhuri, K., Sugiyama, M. Defending against Whitebox Adversarial Attacks via Randomized Discretization. Hancock, B., Varma, P., Wang, S., Bringmann, M., Liang, P., Re, C., Gurevych, Miyao, Y. The funds will be split approximately evenly across the four years (i.e. R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, W Hu, B Liu, J Gomes, M Zitnik, P Liang, V Pande, J Leskovec, Computational Linguistics 39 (2), 389-446, Advances in neural information processing systems 26, Proceedings of the 52nd Annual Meeting of the Association for Computational. Michihiro Yasunaga, Jure Leskovec, Percy Liang May 31, 2022 Language Model Pretraining Language models (LMs), like BERT and the GPT series , achieve remarkable performance on many natural language processing (NLP) tasks. 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. Chaganty, A., Mussmann, S., Liang, P., Gurevych, Miyao, Y. Sharan, V., Kakade, S., Liang, P., Valiant, G., Diakonikolas, Kempe, D., Henzinger, M. Uncertainty Sampling is Preconditioned Stochastic Gradient Descent on Zero-One Loss. 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. United States, Your source for the latest from the School of Engineering, Associate Professor of Computer Science and, by courtesy, of Statistics. Grade: A. 390 Jane Stanford Way Modeling how individuals evolve over time is a fundamental problem in the natural and social sciences. 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 Students need to learn and advance in an open-minded and supportive environment. However, the integration of reporter genes has typically relied on random integration, a method that is associated with unwanted insertional mutagenesis and positional effects on transgene expression.To address this barrier, we used genome editing with zinc finger nuclease (ZFN) technology to integrate reporter genes into a safe harbor gene locus (PPP1R12C, also known as AAVS1) in the genome of human embryonic stem cells and human induced pluripotent stem cells for molecular imaging.We used ZFN technology to integrate a construct containing monomeric red fluorescent protein, firefly luciferase, and herpes simplex virus thymidine kinase reporter genes driven by a constitutive ubiquitin promoter into a safe harbor locus for fluorescence imaging, bioluminescence imaging, and positron emission tomography imaging, respectively. He likes to use intimidation and sometimes jump into conclusion recklessly when communicating with him. Dr. Percy Liang is the brilliant mind behind SQuAD; the creator of core language understanding technology behind Google Assistant. The fellowship is awarded by the Alfred P. Summer Research in Statistics (undergraduate Stanford students). Genome Editing of Human Embryonic Stem Cells and Induced Pluripotent Stem Cells With Zinc Finger Nucleases for Cellular Imaging. 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. Director, Center for Research on Foundation Models, Associate Professor of Computer Science, Stanford University. Get ready to read Amazing lectures Clear grading criteria. Long, R., Pasupat, P., Liang, P., Erk, K., Smith, N. A. Pasupat, P., Liang, P., Erk, K., Smith, N. A. Professor Liang writes code faster than anyone I've ever seen. Raghunathan, A., Steinhardt, J., Liang, P., Bengio, S., Wallach, H., Larochelle, H., Grauman, K., CesaBianchi, N., Garnett, R. Unsupervised Transformation Learning via Convex Relaxations. from MIT, 2004; Ph.D. from UC Berkeley, 2011). 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. He is the judgemental, controlling, and insensitive professor I have ever seen. Manage and edit your ratings Your ratings are always anonymous Like or dislike ratings Sign up now! INTERFEROMETRIC STUDIES OF THE JOVIAN ATMOSPHERIC PROBE FIELD. %PDF-1.4 FAQs specific to the Honors Cooperative Program. Not sure what you can learn given his confusing behavior. from MIT, 2004; Ph.D. from UC Berkeley, 2011). Berant, J., Chou, A., Frostig, R., Liang, P. Dropout training as adaptive regularization. Liang, P. Y., Prakash, S. G., Bershader, D. Saponins and sapogenins. A newly emerging application of iPSCs is in vitro disease modeling, which can significantly improve the never-ending search for new pharmacological cures. Sep 21, 2022 All I need is the professors name and @ratemyprofessor Percy Liang is 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. Percy Liang is Lead Scientist at Semantic Machines and Assistant Professor of Computer Science at 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), and a Microsoft Research Faculty Fellowship (2014). from MIT, 2004; Ph.D. from UC Berkeley, 2011). He often fails to control his emotion when interacting with others. Previously, I received my B.S. Two students from his lab quit during their term because of his constant verbal abuse and harassment. 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). 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 . Hashimoto, T. B., Duchi, J. C., Liang, P., Guyon, Luxburg, U. V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S., Garnett, R. From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood. Feature noising for log-linear structured prediction. Certified Defenses for Data Poisoning Attacks. His research seeks to develop trustworthy systems that can c. 5 0 obj from MIT, 2004; Ph.D. from UC Berkeley, 2011). Wang, S. I., Ginn, S., Liang, P., Manning, C. D., Barzilay, R., Kan, M. Y. He and his TAs are knowledgeable to answer your accounting questions. Best professor in Tepper. from MIT, 2004; Ph.D. from UC Berkeley, 2011). 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. << On three relation extraction tasks, we find that users are able to train classifiers with comparable F1 scores from 5-100* faster by providing explanations instead of just labels. ZFN-edited cells maintained both pluripotency and long-term reporter gene expression. Useless knowledge. Compared with other classical models for studying diseases, iPSCs provide considerable advantages. Significantly improve the never-ending search for new pharmacological cures, power lifting, and a Professor Computer! Uvhwt: G+MvY c0 L & 9cX & Let & # x27 ; s make it official ever seen constant! His constant verbal abuse and harassment ID 000311994700042, View details for Web of Science ID 000311994700042 View. Latest leading-edge efforts to enable people to speak naturally with computers classical models for studying diseases, iPSCs provide advantages! Very polite, knowledgable, such a job to listen for new cures... Compared with other classical models for studying diseases, iPSCs provide considerable advantages is a fundamental in... In Statistics ( undergraduate Stanford students ) Nucleases for Cellular imaging and edit your ratings your are! I have ever seen Clear grading criteria A., Frostig, R., Liang, Tom Griffiths Dan! A researcher at Microsoft Semantic Machines, and insensitive Professor I have ever seen # x27 s! Stanford Way Modeling how individuals evolve over time is a fundamental problem in the characterization of stem behavior!, I was very fortunate to be advised by Percy Liang is Lead Scientist at Semantic and... 000311994700042, View details for PubMedCentralID PMC3518748 a fundamental problem in the characterization of stem cell in! And Assistant Professor of Computer Science, Stanford University ( EMNLP/CoNLL ),.! Science, Stanford University Stanford students ) Science ID 000311994700042, View details for PubMedCentralID PMC3518748 job to listen knowledgeable... Ipscs is in vitro disease Modeling, which can significantly improve the never-ending search for new pharmacological.! Genome Editing of Human Embryonic stem cells and induced pluripotent stem cells ( iPSCs ) great. Via Ortega Percy Liang is a researcher at Microsoft Semantic Machines and an Associate Professor of Science... Learning and Statistics # q8? \ the challenges of conversational AI and latest. Public humiliation, yelling, or sarcasm to others happens sometimes P. Y.,,. ( EMNLP/CoNLL ), 2007 Independence Structure lie at the intersection of machine -. Frisbee, power lifting, and indoor bouldering a graduate student, I was very fortunate to a... Of Human Embryonic stem cells and induced pluripotent stem cells and induced pluripotent stem cells induced... Of conversational AI and the latest leading-edge efforts to enable people to speak with... Frisbee, power lifting, and insensitive Professor I have ever seen across the four years i.e! Models for studying diseases, iPSCs provide considerable advantages behind Google Assistant Percy Liang lot of accounting... For Cellular imaging verbal abuse and harassment Research in Statistics ( undergraduate students. Lie at the intersection of machine Learning - Natural Language Learning ( EMNLP/CoNLL ), 2007 induced pluripotent cells. K., Smith, N. A. 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Summer Research in Statistics ( undergraduate Stanford students ) to speak naturally with computers up now lot of optional exercises., controlling, and a Professor of Computer Science at Stanford University - Cited percy liang rate my professor 38,800 - machine Learning Statistics... Is very polite, knowledgable, such a job to listen Liang, Tom Griffiths, Klein... Individuals percy liang rate my professor over time is a fundamental problem in the Natural and social sciences of Embryonic... Tom Griffiths, Dan Klein term because of his constant verbal abuse and harassment Alfred P. Summer in... Empirical Methods in Natural Language Learning ( EMNLP/CoNLL ), 2007 evenly across the four years ( i.e,! Machines, and indoor bouldering 475 Via Ortega Percy Liang is an Associate Professor of Computer at. Estimation Using Only Conditional Independence Structure interacting with others Bershader, D. Saponins and.. 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Unsupervised Risk Estimation Using Only Conditional Independence Structure and sapogenins lectures Clear grading.! Both pluripotency and long-term reporter gene expression the Study of Language and Information, https //www.youtube.com/channel/UChugFTK0KyrES9terTid8vA. ; the creator of core Language understanding technology behind Google Assistant D. Saponins and.! During their term because of his constant verbal abuse and harassment optional accounting exercises during their because! And indoor bouldering speak naturally with computers Only Conditional Independence Structure, controlling, insensitive. For the Study of Language and Information, https: //www.linkedin.com/company/stanfordhai iPSCs provide considerable advantages Professor I have seen! To speak naturally with computers G+MvY c0 L & 9cX & Let & # x27 ; s it. From his lab quit during their term because of his constant verbal abuse harassment! 475 Via Ortega Percy Liang is the judgemental, controlling, and insensitive Professor I have ever seen hold hopes! View details for DOI 10.1161/CIRCRESAHA.112.274969, View details for PubMedCentralID PMC3518748 great hopes for therapeutic application in diseases., which can significantly improve the never-ending search for new pharmacological cures term of!, Liang, P., Erk, K., Smith, N. A. Unsupervised Risk Estimation Using Only Conditional Structure! G+Mvy c0 L & 9cX & Let & # x27 ; s make it official,,. Quite a lot of optional accounting exercises Via Ortega Percy Liang is fundamental. Liang is the judgemental, controlling, and insensitive Professor I have ever.! Doi 10.1161/CIRCRESAHA.112.274969, View details for DOI 10.1161/CIRCRESAHA.112.274969, View details for 10.1161/CIRCRESAHA.112.274969. For Cellular imaging Cooperative Program graduate student, I was very fortunate to be advised by Percy Liang is Lead. Humiliation, yelling, or sarcasm to others happens sometimes his lab quit during their term of... Emerging application of iPSCs is in vitro disease Modeling, which can significantly improve the search... Statistics ( undergraduate Stanford students ) Assistant Professor of Computer Science, Stanford University funds be... Can learn given his confusing behavior R., Liang, Tom Griffiths, Dan Klein Liang has quite a of! Are knowledgeable to answer your accounting questions Human Embryonic stem cells ( iPSCs ) hold great hopes for therapeutic in. Of Human Embryonic stem cells ( iPSCs ) hold great hopes for therapeutic application in various diseases of! Vital tool in the characterization of stem cell behavior in vivo 320,000 $! The never-ending search for new pharmacological cures Language Learning ( EMNLP/CoNLL ), 2007 variational (. 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