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http://www.peterhenderson.co/

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Education and qualifications (3)

Stanford University: Stanford, CA, US

2018-09-01 to present | JD-PhD (Computer Science and Law School)
Education
Source: Self-asserted source
Peter Henderson

Université McGill: Montreal, QC, CA

2016-09-01 to 2018-06-01 | M.Sc. (Computer Science)
Education
Source: Self-asserted source
Peter Henderson

Université McGill: Montreal, QC, CA

2011-09-01 to 2015-06-01 | B. Eng. (Electrical, Computer, and Software Engineering)
Education
Source: Self-asserted source
Peter Henderson

Works (49)

Cheaply Evaluating Inference Efficiency Metrics for Autoregressive Transformer APIs

arXiv preprint arXiv:2305.02440
2023 | Journal article
Contributors: Narayanan, Deepak; Santhanam, Keshav; Henderson, Peter; Bommasani, Rishi; Lee, Tony; Liang, Percy
Source: Self-asserted source
Peter Henderson

Entropy Regularization for Population Estimation

Proceedings of the AAAI Conference on Artificial Intelligence
2023 | Conference paper
Contributors: Chugg, Ben; Henderson, Peter; Goldin, Jacob; Ho, Daniel E
Source: Self-asserted source
Peter Henderson

Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!

arXiv preprint arXiv:2310.03693
2023 | Journal article
Contributors: Qi, Xiangyu; Zeng, Yi; Xie, Tinghao; Chen, Pin-Yu; Jia, Ruoxi; Mittal, Prateek; Henderson, Peter
Source: Self-asserted source
Peter Henderson

Foundation Models and Fair Use

arXiv preprint arXiv:2303.15715
2023 | Journal article
Contributors: Henderson, Peter; Li, Xuechen; Jurafsky, Dan; Hashimoto, Tatsunori; Lemley, Mark A; Liang, Percy
Source: Self-asserted source
Peter Henderson

Freedom of Speech and AI Output

J. Free Speech L.
2023 | Journal article
Contributors: Volokh, Eugene; Lemley, Mark A; Henderson, Peter
Source: Self-asserted source
Peter Henderson

Gamesmanship in Modern Discovery Tech

Legal Tech and the Future of Civil Justice
2023 | Book chapter
Contributors: Guha, Neel; Henderson, Peter; Zambrano, Diego
Source: Self-asserted source
Peter Henderson

Integrating reward maximization and population estimation: Sequential decision-making for Internal Revenue Service audit selection

Proceedings of the AAAI Conference on Artificial Intelligence
2023 | Conference paper
Contributors: Henderson, Peter; Chugg, Ben; Anderson, Brandon; Altenburger, Kristen; Turk, Alex; Guyton, John; Goldin, Jacob; Ho, Daniel E
Source: Self-asserted source
Peter Henderson

LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models

arXiv preprint arXiv:2308.11462
2023 | Journal article
Contributors: Guha, Neel; Nyarko, Julian; Ho, Daniel E; Ré, Christopher; Chilton, Adam; Narayana, Aditya; Chohlas-Wood, Alex; Peters, Austin; Waldon, Brandon; Rockmore, Daniel N et al.
Source: Self-asserted source
Peter Henderson

Self-Destructing Models: Increasing the Costs of Harmful Dual Uses of Foundation Models

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society
2023 | Conference paper
Contributors: Henderson, Peter; Mitchell, Eric; Manning, Christopher; Jurafsky, Dan; Finn, Chelsea
Source: Self-asserted source
Peter Henderson

Should the United States or the European Union Follow China’s Lead and Require Watermarks for Generative AI?

Georgetown Journal of International Affairs (Online)
2023 | Journal article
Contributors: Henderson, Peter
Source: Self-asserted source
Peter Henderson

Visual Adversarial Examples Jailbreak Large Language Models

arXiv preprint arXiv:2306.13213
2023 | Journal article
Contributors: Qi, Xiangyu; Huang, Kaixuan; Panda, Ashwinee; Henderson, Peter; Wang, Mengdi; Mittal, Prateek
Source: Self-asserted source
Peter Henderson

Where's the Liability in harmful AI Speech?

J. Free Speech L.
2023 | Journal article
Contributors: Henderson, Peter; Hashimoto, Tatsunori; Lemley, Mark
Source: Self-asserted source
Peter Henderson

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

arXiv preprint arXiv:2211.05100
2022 | Journal article
Contributors: Scao, Teven Le; Fan, Angela; Akiki, Christopher; Pavlick, Ellie; Ilić, Suzana; Hesslow, Daniel; Castagné, Roman; Luccioni, Alexandra Sasha; Yvon, François; Gallé, Matthias et al.
Source: Self-asserted source
Peter Henderson

Data Governance in the Age of Large-Scale Data-Driven Language Technology

2022 | Journal article
Contributors: Jerncite, Yacine; Nguyen, Huu; Biderman, Stella; Rogers, Anna; Danchev, Valentin; Tan, Samson; Luccioni, Alexandra Sasha; Gérard, Dupont; Kyle, Lo; Zeerak, Talat et al.
Source: Self-asserted source
Peter Henderson

Holistic Evaluation of Language Models

arXiv preprint arXiv:2211.09110
2022 | Journal article
Contributors: Liang, Percy; Bommasani, Rishi; Lee, Tony; Tsipras, Dimitris; Soylu, Dilara; Yasunaga, Michihiro; Zhang, Yian; Narayanan, Deepak; Wu, Yuhuai; Kumar, Ananya et al.
Source: Self-asserted source
Peter Henderson

Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset

arXiv preprint arXiv:2207.00220
2022 | Journal article
Contributors: Henderson*, Peter; Krass*, Mark S; Zheng, Lucia; Guha, Neel; Manning, Christopher D; Jurafsky, Dan; Ho, Daniel E
Source: Self-asserted source
Peter Henderson

Text Characterization Toolkit (TCT)

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing: System Demonstrations
2022 | Conference paper
Contributors: Simig, Daniel; Wang, Tianlu; Dankers, Verna; Henderson, Peter; Batsuren, Khuyagbaatar; Hupkes, Dieuwke; Diab, Mona
Source: Self-asserted source
Peter Henderson

Vulnerabilities in Discovery Tech

Harvard Journal of Law & Technology
2022 | Journal article
Contributors: Guha*, Neel; Henderson*, Peter; Zambrano*, Diego
Source: Self-asserted source
Peter Henderson

An Information-Theoretic Perspective on Credit Assignment in Reinforcement Learning

arXiv preprint arXiv:2103.06224
2021 | Journal article
Contributors: Arumugam, Dilip; Henderson, Peter; Bacon, Pierre-Luc
Source: Self-asserted source
Peter Henderson

Beyond Ads: Sequential Decision-Making Algorithms in Law and Public Policy

arXiv preprint arXiv:2112.06833
2021 | Journal article
Contributors: Henderson*, Peter; Chugg*, Ben; Anderson, Brandon; Ho, Daniel E
Source: Self-asserted source
Peter Henderson

How US law will evaluate artificial intelligence for covid-19

bmj
2021 | Journal article
Contributors: Krass, Mark; Henderson, Peter; Mello, Michelle M; Studdert, David M; Ho, Daniel E
Source: Self-asserted source
Peter Henderson

On the opportunities and risks of foundation models

arXiv preprint arXiv:2108.07258
2021 | Journal article
Contributors: Bommasani, Rishi; Hudson, Drew A; Adeli, Ehsan; Altman, Russ; Arora, Simran; von Arx, Sydney; Bernstein, Michael S; Bohg, Jeannette; Bosselut, Antoine; Brunskill, Emma et al.
Source: Self-asserted source
Peter Henderson

TDprop: Does Adaptive Optimization With Jacobi Preconditioning Help Temporal Difference Learning?

Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems
2021 | Conference paper
Contributors: Romoff, Joshua; Henderson, Peter; Kanaa, David; Bengio, Emmanuel; Touati, Ahmed; Bacon, Pierre-Luc; Pineau, Joelle
Source: Self-asserted source
Peter Henderson

When does pretraining help? assessing self-supervised learning for law and the CaseHOLD dataset of 53,000+ legal holdings

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Law
2021 | Conference paper
Contributors: Zheng*, Lucia; Guha*, Neel; Anderson, Brandon R; Henderson, Peter; Ho, Daniel E
Source: Self-asserted source
Peter Henderson

Ideas for Improving the Field of Machine Learning: Summarizing Discussion from the NeurIPS 2019 Retrospectives Workshop

arXiv preprint arXiv:2007.10546
2020 | Journal article
Contributors: Sodhani, Shagun; Jaiswal, Mayoore S; Baker, Lauren; Sinha, Koustuv; Shneider, Carl; Henderson, Peter; Lehman, Joel; Lowe, Ryan
Source: Self-asserted source
Peter Henderson

Prioritizing Public Health Resources for COVID-19 Investigations: How Administrative Data Can Protect Vulnerable Populations

Health Affairs Blog
2020 | Other
Contributors: Krass, Mark; Henderson, Peter; Ho, Daniel E.
Source: Self-asserted source
Peter Henderson

Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims

arXiv preprint arXiv:2004.07213
2020 | Journal article
Contributors: Brundage, Miles; Avin, Shahar; Wang, Jasmine; Belfield, Haydn; Krueger, Gretchen; Hadfield, Gillian; Khlaaf, Heidy; Yang, Jingying; Toner, Helen; Fong, Ruth et al.
Source: Self-asserted source
Peter Henderson

Towards the systematic reporting of the energy and carbon footprints of machine learning

Journal of Machine Learning Research
2020 | Journal article
Contributors: Henderson, Peter; Hu, Jieru; Romoff, Joshua; Brunskill, Emma; Jurafsky, Dan; Pineau, Joelle
Source: Self-asserted source
Peter Henderson

With Little Power Comes Great Responsibility

arXiv preprint arXiv:2010.06595
2020 | Journal article
Contributors: Card, Dallas; Henderson, Peter; Khandelwal, Urvashi; Jia, Robin; Mahowald, Kyle; Jurafsky, Dan
Source: Self-asserted source
Peter Henderson

Orıon: Asynchronous Distributed Hyperparameter Optimization

2019 | Other
Contributors: Bouthillier, Xavier; Tsirigotis, Christos; Corneau-Tremblay, François; Delaunay, Pierre; Askari, Reyhane; Suhubdy, Dendi; Noukhovitch, Michael; Serdyuk, Dmitriy; Bergeron, Arnaud; Henderson, Peter et al.
Source: Self-asserted source
Peter Henderson

Separating value functions across time-scales

International Conference on Machine Learning
2019 | Conference paper
Contributors: Romoff*, Joshua; Henderson*, Peter; Touati, Ahmed; Brunskill, Emma; Pineau, Joelle; Ollivier, Yann
Source: Self-asserted source
Peter Henderson

A Survey of Available Corpora For Building Data-Driven Dialogue Systems: The Journal Version

Dialogue & Discourse
2018 | Journal article
Contributors: Serban, Iulian Vlad; Lowe, Ryan; Henderson, Peter; Charlin, Laurent; Pineau, Joelle
Source: Self-asserted source
Peter Henderson

Adversarial Gain

arXiv preprint arXiv:1811.01302
2018 | Journal article
Contributors: Henderson, Peter; Sinha, Koustuv; Ke, Rosemary Nan; Pineau, Joelle
Source: Self-asserted source
Peter Henderson

An Introduction to Deep Reinforcement Learning

Foundations and Trends® in Machine Learning
2018 | Journal article
Contributors: François-Lavet, Vincent; Henderson, Peter; Islam, Riashat; Bellemare, Marc G; Pineau, Joelle; others
Source: Self-asserted source
Peter Henderson

Cost Adaptation for Robust Decentralized Swarm Behaviour

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
2018 | Conference paper
Contributors: Henderson, Peter; Vertescher, Matthew; Meger, David; Coates, Mark
Source: Self-asserted source
Peter Henderson

Deep Reinforcement Learning that Matters

AAAI Conference on Artificial Intelligence (AAAI)
2018 | Conference paper
Contributors: Henderson*, Peter; Islam*, Riashat; Bachman, Philip; Pineau, Joelle; Precup, Doina; Meger, David
Source: Self-asserted source
Peter Henderson

Distilling Information from a Flood: A Possibility for the Use of Meta-Analysis and Systematic Review in Machine Learning Research

Critiquing and Correcting Trends in Machine Learning Workshop (NeurIPS)
2018 | Conference paper
Contributors: Henderson, Peter; Brunskill, Emma
Source: Self-asserted source
Peter Henderson

Ethical Challenges in Data-Driven Dialogue Systems

AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES)
2018 | Conference paper
Contributors: Henderson, Peter; Sinha, Koustuv; Angelard-Gontier, Nicolas; Ke, Nan Rosemary; Fried, Genevieve; Lowe, Ryan; Pineau, Joelle
Source: Self-asserted source
Peter Henderson

OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning

AAAI Conference on Artificial Intelligence (AAAI)
2018 | Conference paper
Contributors: Henderson, Peter; Chang, Wei-Di; Bacon, Pierre-Luc; Meger, David; Pineau, Joelle; Precup, Doina
Source: Self-asserted source
Peter Henderson

Reproducibility and Reusability in Deep Reinforcement Learning

2018 | Dissertation or Thesis
Contributors: Henderson, Peter
Source: Self-asserted source
Peter Henderson

Reward Estimation for Variance Reduction in Deep Reinforcement Learning

2nd Conference on Robot Learning (CoRL)
2018 | Conference paper
Contributors: Romoff*, Joshua; Henderson*, Peter; Piche, Alexandre; Francois-Lavet, Vincent; Pineau, Joelle
Source: Self-asserted source
Peter Henderson

The RLLChatbot: a solution to the ConvAI challenge

arXiv preprint arXiv:1811.02714
2018 | Journal article
Contributors: Gontier, Nicolas; Sinha, Koustuv; Henderson, Peter; Serban, Iulian; Noseworthy, Michael; Parthasarathi, Prasanna; Pineau, Joelle
Source: Self-asserted source
Peter Henderson

Where Did My Optimum Go?: An Empirical Analysis of Gradient Descent Optimization in Policy Gradient Methods

The 14th European Workshop on Reinforcement Learning (EWRL 2018)
2018 | Conference paper
Contributors: Henderson, Peter; Romoff, Joshua; Pineau, Joelle
Source: Self-asserted source
Peter Henderson

Bayesian Policy Gradients via Alpha Divergence Dropout Inference

Bayesian Deep Learning Workshop (NeurIPS)
2017 | Conference paper
Contributors: Henderson*, Peter; Doan*, Thang; Islam, Riashat; Meger, David
Source: Self-asserted source
Peter Henderson

Benchmark Environments for Multitask Learning in Continuous Domains

Lifelong Learning: A Reinforcement Learning Approach Workshop (ICML)
2017 | Conference paper
URI:

https://arxiv.org/abs/1708.04352
Contributors: Henderson, Peter; Chang, Wei-Di; Shkurti, Florian; Hansen, Johanna; Meger, David; Dudek, Gregory
Source: Self-asserted source
Peter Henderson

Learning Robust Dialog Policies in Noisy Environments

Conversational AI Workshop (NeurIPS)
2017 | Conference paper
Contributors: Fazel-Zarandi, Maryam; Li, Shang-Wen; Cao, Jin; Casale, Jared; Henderson, Peter; Whitney, David; Geramifard, Alborz
Source: Self-asserted source
Peter Henderson

Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control

Reproducibility in Machine Learning Workshop (ICML)
2017 | Conference paper
URI:

https://arxiv.org/abs/1708.04133
Contributors: Islam*, Riashat; Henderson*, Peter; Gomrokchi, Maziar; Precup, Doina
Source: Self-asserted source
Peter Henderson

Underwater Multi-Robot Convoying using Visual Tracking by Detection

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
2017 | Conference paper
Contributors: Shkurti, Florian; Chang, Wei-Di; Henderson, Peter; Islam, Md Jahidul; Higuera, Juan Camilo Gamboa; Li, Jimmy; Manderson, Travis; Xu, Anqi; Dudek, Gregory; Sattar, Junaed
Source: Self-asserted source
Peter Henderson

Parallelized Motion Detection using Dual-Mode Single Gaussian Kernels

Journal article
Contributors: Henderson, Peter; Vertescher, Matthew
Source: Self-asserted source
Peter Henderson
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