Paul F. Christiano

According to our database, Paul F. Christiano authored at least 29 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training.

Evan Hubinger, Carson Denison, Jesse Mu, Mike Lambert, Meg Tong, Monte MacDiarmid, Tamera Lanham, Daniel M. Ziegler, Tim Maxwell, Newton Cheng, Adam S. Jermyn, Amanda Askell, Ansh Radhakrishnan, Cem Anil, David Duvenaud, Deep Ganguli, Fazl Barez, Jack Clark, Kamal Ndousse, Kshitij Sachan, Michael Sellitto, Mrinank Sharma, Nova DasSarma, Roger Grosse, Shauna Kravec, Yuntao Bai, Zachary Witten, Marina Favaro, Jan Brauner, Holden Karnofsky, Paul F. Christiano, Samuel R. Bowman, Logan Graham, Jared Kaplan, Sören Mindermann, Ryan Greenblatt, Buck Shlegeris, Nicholas Schiefer, Ethan Perez

CoRR, 2024

2023

Model evaluation for extreme risks.

Toby Shevlane, Sebastian Farquhar, Ben Garfinkel, Mary Phuong, Jess Whittlestone, Jade Leung, Daniel Kokotajlo, Nahema Marchal, Markus Anderljung, Noam Kolt, Lewis Ho, Divya Siddarth, Shahar Avin, Will Hawkins, Been Kim, Iason Gabriel, Vijay Bolina, Jack Clark, Yoshua Bengio, Paul F. Christiano, Allan Dafoe

CoRR, 2023

2022

Formalizing the presumption of independence.

Paul F. Christiano, Eric Neyman, Mark Xu

CoRR, 2022

Training language models to follow instructions with human feedback.

Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll L. Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke Miller, Maddie Simens, Amanda Askell, Peter Welinder, Paul F. Christiano, Jan Leike, Ryan Lowe

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

A Cryptographic Test of Quantumness and Certifiable Randomness from a Single Quantum Device.

Zvika Brakerski, Paul F. Christiano, Urmila Mahadev, Umesh V. Vazirani, Thomas Vidick

J. ACM, 2021

Recursively Summarizing Books with Human Feedback.

Jeff Wu, Long Ouyang, Daniel M. Ziegler, Nisan Stiennon, Ryan Lowe, Jan Leike, Paul F. Christiano

CoRR, 2021

2020

Learning to summarize from human feedback.

Nisan Stiennon, Long Ouyang, Jeff Wu, Daniel M. Ziegler, Ryan Lowe, Chelsea Voss, Alec Radford, Dario Amodei, Paul F. Christiano

CoRR, 2020

Learning to summarize with human feedback.

Nisan Stiennon, Long Ouyang, Jeffrey Wu, Daniel M. Ziegler, Ryan Lowe, Chelsea Voss, Alec Radford, Dario Amodei, Paul F. Christiano

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Fine-Tuning Language Models from Human Preferences.

Daniel M. Ziegler, Nisan Stiennon, Jeffrey Wu, Tom B. Brown, Alec Radford, Dario Amodei, Paul F. Christiano, Geoffrey Irving

CoRR, 2019

2018

Supervising strong learners by amplifying weak experts.

Paul F. Christiano, Buck Shlegeris, Dario Amodei

CoRR, 2018

Unrestricted Adversarial Examples.

Tom B. Brown, Nicholas Carlini, Chiyuan Zhang, Catherine Olsson, Paul F. Christiano, Ian J. Goodfellow

CoRR, 2018

AI safety via debate.

Geoffrey Irving, Paul F. Christiano, Dario Amodei

CoRR, 2018

Certifiable Randomness from a Single Quantum Device.

Zvika Brakerski, Paul F. Christiano, Urmila Mahadev, Umesh V. Vazirani, Thomas Vidick

CoRR, 2018

2017

Manipulation-resistant online learning.

Paul Francis Christiano

PhD thesis, 2017

Deep Reinforcement Learning from Human Preferences.

Paul F. Christiano, Jan Leike, Tom B. Brown, Miljan Martic, Shane Legg, Dario Amodei

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models.

Chelsea Finn, Paul F. Christiano, Pieter Abbeel, Sergey Levine

CoRR, 2016

Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model.

Paul F. Christiano, Zain Shah, Igor Mordatch, Jonas Schneider, Trevor Blackwell, Joshua Tobin, Pieter Abbeel, Wojciech Zaremba

CoRR, 2016

Robust Collaborative Online Learning.

Paul F. Christiano

CoRR, 2016

Concrete Problems in AI Safety.

Dario Amodei, Chris Olah, Jacob Steinhardt, Paul F. Christiano, John Schulman, Dan Mané

CoRR, 2016

Theano: A Python framework for fast computation of mathematical expressions.

Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermüller, Dzmitry Bahdanau, Nicolas Ballas, Frédéric Bastien, Justin Bayer, Anatoly Belikov, Alexander Belopolsky, Yoshua Bengio, Arnaud Bergeron, James Bergstra, Valentin Bisson, Josh Bleecher Snyder, Nicolas Bouchard, Nicolas Boulanger-Lewandowski, Xavier Bouthillier, Alexandre de Brébisson, Olivier Breuleux, Pierre Luc Carrier, Kyunghyun Cho, Jan Chorowski, Paul F. Christiano, Tim Cooijmans, Marc-Alexandre Côté, Myriam Côté, Aaron C. Courville, Yann N. Dauphin, Olivier Delalleau, Julien Demouth, Guillaume Desjardins, Sander Dieleman, Laurent Dinh, Melanie Ducoffe, Vincent Dumoulin, Samira Ebrahimi Kahou, Dumitru Erhan, Ziye Fan, Orhan Firat, Mathieu Germain, Xavier Glorot, Ian J. Goodfellow, Matthew Graham, Çaglar Gülçehre, Philippe Hamel, Iban Harlouchet, Jean-Philippe Heng, Balázs Hidasi, Sina Honari, Arjun Jain, Sébastien Jean, Kai Jia, Mikhail Korobov, Vivek Kulkarni, Alex Lamb, Pascal Lamblin, Eric Larsen, César Laurent, Sean Lee, Simon Lefrançois, Simon Lemieux, Nicholas Léonard, Zhouhan Lin, Jesse A. Livezey, Cory Lorenz, Jeremiah Lowin, Qianli Ma, Pierre-Antoine Manzagol, Olivier Mastropietro, Robert McGibbon, Roland Memisevic, Bart van Merriënboer, Vincent Michalski, Mehdi Mirza, Alberto Orlandi, Christopher Joseph Pal, Razvan Pascanu, Mohammad Pezeshki, Colin Raffel, Daniel Renshaw, Matthew Rocklin, Adriana Romero, Markus Roth, Peter Sadowski, John Salvatier, François Savard, Jan Schlüter, John Schulman, Gabriel Schwartz, Iulian Vlad Serban, Dmitriy Serdyuk, Samira Shabanian, Étienne Simon, Sigurd Spieckermann, S. Ramana Subramanyam, Jakub Sygnowski, Jérémie Tanguay, Gijs van Tulder, Joseph P. Turian, Sebastian Urban, Pascal Vincent, Francesco Visin, Harm de Vries, David Warde-Farley, Dustin J. Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, Ying Zhang

CoRR, 2016

Provably manipulation-resistant reputation systems.

Paul F. Christiano

Proceedings of the 29th Conference on Learning Theory, 2016

2015

Reflective Oracles: A Foundation for Classical Game Theory.

Benja Fallenstein, Jessica Taylor, Paul F. Christiano

CoRR, 2015

Reflective Oracles: A Foundation for Game Theory in Artificial Intelligence.

Benja Fallenstein, Jessica Taylor, Paul F. Christiano

Proceedings of the Logic, Rationality, and Interaction - 5th International Workshop, 2015

2014

Robust Cooperation in the Prisoner's Dilemma: Program Equilibrium via Provability Logic.

Mihály Bárász, Paul F. Christiano, Benja Fallenstein, Marcello Herreshoff, Patrick LaVictoire, Eliezer Yudkowsky

CoRR, 2014

Online local learning via semidefinite programming.

Paul F. Christiano

Proceedings of the Symposium on Theory of Computing, 2014

Open Problem: Online Local Learning.

Paul F. Christiano

Proceedings of The 27th Conference on Learning Theory, 2014

2013

Quantum Money from Hidden Subspaces.

Scott Aaronson, Paul F. Christiano

Theory Comput., 2013

2011

Lossless Fault-Tolerant Data Structures with Additive Overhead.

Paul F. Christiano, Erik D. Demaine, Shaunak Kishore

Proceedings of the Algorithms and Data Structures - 12th International Symposium, 2011

Electrical flows, laplacian systems, and faster approximation of maximum flow in undirected graphs.

Paul F. Christiano, Jonathan A. Kelner, Aleksander Madry, Daniel A. Spielman, Shang-Hua Teng

Proceedings of the 43rd ACM Symposium on Theory of Computing, 2011