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Author Information
Travis LaCroix (University of California, Irvine)
Marie Ossenkopf (University of Kassel)
Marie Ossenkopf (Uni Kassel) is a PhD student at the University of Kassel in the Distributed Systems Group supervised by Kurt Geihs. She is currently writing her thesis on architectural necessities of emergent communication, especially for multilateral agreements. She received her MSc in Automation Engineering from RWTH Aachen University in 2016 and organizes international youth exchange workshops since 2017. She was a co-organizer of the Emergent Communication workshop at NeurIPS 2019. When Does Communication Learning Need Hierarchical Multi-Agent Deep Reinforcement Learning. Ossenkopf, Marie; Jorgensen, Mackenzie; Geihs, Kurt. In: Cybernetics and Systems vol. 50, Taylor & Francis (2019), Nr. 8, pp. 672-692 Hierarchical Multi-Agent Deep Reinforcement Learning to Develop Long-Term Coordination. Ossenkopf, Marie, Mackenzie Jorgensen, and Kurt Geihs. SAC 2019.
Mina Lee (Stanford University)
Nicole Fitzgerald (Microsoft Research)
Daniela Mihai (University of Southampton)
Jonathon Hare (University of Southampton)
Ali Zaidi (Microsoft / Stanford University)
Alexander Cowen-Rivers (University College London)
Alana Marzoev (MIT)
Eugene Kharitonov (Facebook AI)
Luyao Yuan (University of California, Los Angeles)
Tomasz Korbak (Institute of Philosophy and Sociology, Polish Academy of Sciences)
Paul Pu Liang (Carnegie Mellon University)
Yi Ren (The University of Edinburgh)
Roberto Dessì (Universitat Pompeu Fabra)
Peter Potash (Microsoft Research Montreal)
Shangmin Guo (School of Informatics)
Tatsunori Hashimoto (Stanford)
Percy Liang (Stanford University)

Percy Liang is an Assistant Professor of Computer Science at Stanford University (B.S. from MIT, 2004; Ph.D. from UC Berkeley, 2011). His research spans machine learning and natural language processing, with the goal of developing trustworthy agents that can communicate effectively with people and improve over time through interaction. Specific topics include question answering, dialogue, program induction, interactive learning, and reliable machine learning. His awards include the IJCAI Computers and Thought Award (2016), an NSF CAREER Award (2016), a Sloan Research Fellowship (2015), and a Microsoft Research Faculty Fellowship (2014).
Julian Zubek (University of Warsaw)
Zipeng Fu (University of California, Los Angeles)
Song-Chun Zhu (UCLA)
Adam Lerer (Facebook AI Research)
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2018 Poster: Semidefinite relaxations for certifying robustness to adversarial examples »
Aditi Raghunathan · Jacob Steinhardt · Percy Liang -
2018 Poster: A Retrieve-and-Edit Framework for Predicting Structured Outputs »
Tatsunori Hashimoto · Kelvin Guu · Yonatan Oren · Percy Liang -
2018 Oral: A Retrieve-and-Edit Framework for Predicting Structured Outputs »
Tatsunori Hashimoto · Kelvin Guu · Yonatan Oren · Percy Liang -
2017 : (Invited Talk) Percy Liang: Learning with Adversaries and Collaborators »
Percy Liang -
2017 Workshop: Machine Learning and Computer Security »
Jacob Steinhardt · Nicolas Papernot · Bo Li · Chang Liu · Percy Liang · Dawn Song -
2017 Demonstration: Babble Labble: Learning from Natural Language Explanations »
Braden Hancock · Paroma Varma · Percy Liang · Christopher Ré · Stephanie Wang -
2017 Poster: Learning Overcomplete HMMs »
Vatsal Sharan · Sham Kakade · Percy Liang · Gregory Valiant -
2017 Poster: Certified Defenses for Data Poisoning Attacks »
Jacob Steinhardt · Pang Wei Koh · Percy Liang -
2017 Poster: Unsupervised Transformation Learning via Convex Relaxations »
Tatsunori Hashimoto · Percy Liang · John Duchi -
2016 Workshop: Deep Learning for Action and Interaction »
Chelsea Finn · Raia Hadsell · David Held · Sergey Levine · Percy Liang -
2016 Workshop: Intuitive Physics »
Adam Lerer · Jiajun Wu · Josh Tenenbaum · Emmanuel Dupoux · Rob Fergus -
2016 Workshop: Nonconvex Optimization for Machine Learning: Theory and Practice »
Hossein Mobahi · Anima Anandkumar · Percy Liang · Stefanie Jegelka · Anna Choromanska -
2016 Workshop: Reliable Machine Learning in the Wild »
Dylan Hadfield-Menell · Adrian Weller · David Duvenaud · Jacob Steinhardt · Percy Liang -
2016 Poster: Unsupervised Risk Estimation Using Only Conditional Independence Structure »
Jacob Steinhardt · Percy Liang -
2015 : Sharing the "How" (and not the "What") »
Percy Liang -
2015 Workshop: Non-convex Optimization for Machine Learning: Theory and Practice »
Anima Anandkumar · Niranjan Uma Naresh · Kamalika Chaudhuri · Percy Liang · Sewoong Oh -
2015 Demonstration: CodaLab Worksheets for Reproducible, Executable Papers »
Percy Liang · Evelyne Viegas -
2015 Poster: On-the-Job Learning with Bayesian Decision Theory »
Keenon Werling · Arun Tejasvi Chaganty · Percy Liang · Christopher Manning -
2015 Spotlight: On-the-Job Learning with Bayesian Decision Theory »
Keenon Werling · Arun Tejasvi Chaganty · Percy Liang · Christopher Manning -
2015 Poster: Estimating Mixture Models via Mixtures of Polynomials »
Sida Wang · Arun Tejasvi Chaganty · Percy Liang -
2015 Poster: Learning with Relaxed Supervision »
Jacob Steinhardt · Percy Liang -
2015 Poster: Calibrated Structured Prediction »
Volodymyr Kuleshov · Percy Liang -
2014 Workshop: Challenges in Machine Learning workshop (CiML 2014) »
Isabelle Guyon · Evelyne Viegas · Percy Liang · Olga Russakovsky · Rinat Sergeev · Gábor Melis · Michele Sebag · Gustavo Stolovitzky · Jaume Bacardit · Michael S Kim · Ben Hamner -
2014 Poster: Altitude Training: Strong Bounds for Single-Layer Dropout »
Stefan Wager · William S Fithian · Sida Wang · Percy Liang -
2014 Poster: Simple MAP Inference via Low-Rank Relaxations »
Roy Frostig · Sida Wang · Percy Liang · Christopher D Manning -
2013 Poster: Unsupervised Structure Learning of Stochastic And-Or Grammars »
Kewei Tu · Maria Pavlovskaia · Song-Chun Zhu -
2013 Poster: Dropout Training as Adaptive Regularization »
Stefan Wager · Sida Wang · Percy Liang -
2013 Spotlight: Dropout Training as Adaptive Regularization »
Stefan Wager · Sida Wang · Percy Liang -
2012 Poster: Identifiability and Unmixing of Latent Parse Trees »
Percy Liang · Sham M Kakade · Daniel Hsu -
2011 Poster: Image Parsing with Stochastic Scene Grammar »
Yibiao Zhao · Song-Chun Zhu -
2009 Workshop: The Generative and Discriminative Learning Interface »
Simon Lacoste-Julien · Percy Liang · Guillaume Bouchard -
2009 Poster: Asymptotically Optimal Regularization in Smooth Parametric Models »
Percy Liang · Francis Bach · Guillaume Bouchard · Michael Jordan -
2008 Workshop: Speech and Language: Unsupervised Latent-Variable Models »
Slav Petrov · Aria Haghighi · Percy Liang · Dan Klein -
2007 Poster: Agreement-Based Learning »
Percy Liang · Dan Klein · Michael Jordan -
2007 Spotlight: Agreement-Based Learning »
Percy Liang · Dan Klein · Michael Jordan -
2007 Poster: A Probabilistic Approach to Language Change »
Alexandre Bouchard-Côté · Percy Liang · Tom Griffiths · Dan Klein