no code implementations • ICML 2020 • Vincent Conitzer, Debmalya Panigrahi, Hanrui Zhang
We study the problem of learning opinions in social networks.
no code implementations • ICML 2020 • Hanrui Zhang, Vincent Conitzer
We study problems where a learner aims to learn the valuations of an agent by observing which goods he buys under varying price vectors.
no code implementations • 16 Apr 2024 • Vincent Conitzer, Rachel Freedman, Jobst Heitzig, Wesley H. Holliday, Bob M. Jacobs, Nathan Lambert, Milan Mossé, Eric Pacuit, Stuart Russell, Hailey Schoelkopf, Emanuel Tewolde, William S. Zwicker
Foundation models such as GPT-4 are fine-tuned to avoid unsafe or otherwise problematic behavior, so that, for example, they refuse to comply with requests for help with committing crimes or with producing racist text.
no code implementations • 12 Feb 2024 • Vojtech Kovarik, Caspar Oesterheld, Vincent Conitzer
In this paper, we study an interaction between AI agents where the agents run a recursive joint simulation.
no code implementations • 11 Jul 2023 • Caspar Oesterheld, Abram Demski, Vincent Conitzer
In this paper, we develop a theory of rational decision making that does not assume logical omniscience.
no code implementations • 28 May 2023 • Emanuel Tewolde, Caspar Oesterheld, Vincent Conitzer, Paul W. Goldberg
For such games, two natural equilibrium concepts have been proposed as alternative solution concepts to ex-ante optimality.
no code implementations • 22 Jul 2022 • Steven Jecmen, Nihar B. Shah, Fei Fang, Vincent Conitzer
Many conferences rely on paper bidding as a key component of their reviewer assignment procedure.
1 code implementation • 7 Jul 2022 • Scott Emmons, Caspar Oesterheld, Andrew Critch, Vincent Conitzer, Stuart Russell
In this work, we show that any locally optimal symmetric strategy profile is also a (global) Nash equilibrium.
1 code implementation • 24 Jun 2022 • Steven Jecmen, Minji Yoon, Vincent Conitzer, Nihar B. Shah, Fei Fang
The performance of these detection algorithms can be taken as a baseline for future research on detecting malicious bidding.
no code implementations • 16 May 2022 • Hanrui Zhang, Yu Cheng, Vincent Conitzer
Our approach can also be extended to the (discounted) infinite-horizon case, for which we give an algorithm that runs in time polynomial in the size of the input and $\log(1/\varepsilon)$, and returns a policy that is optimal up to an additive error of $\varepsilon$.
1 code implementation • 13 Aug 2021 • Steven Jecmen, Hanrui Zhang, Ryan Liu, Fei Fang, Vincent Conitzer, Nihar B. Shah
Many scientific conferences employ a two-phase paper review process, where some papers are assigned additional reviewers after the initial reviews are submitted.
no code implementations • Proceedings of the AAAI Conference on Artificial Intelligence 2021 • Hanrui Zhang, Vincent Conitzer
We give a sample complexity bound that is, curiously, independent of the hypothesis class, for the ERM principle restricted to incentivecompatible classifiers.
no code implementations • 30 Apr 2021 • Michael Anis Mihdi Afnan, Cynthia Rudin, Vincent Conitzer, Julian Savulescu, Abhishek Mishra, Yanhe Liu, Masoud Afnan
We then consider the broader ethical issues involved.
no code implementations • 12 Apr 2021 • Hanrui Zhang, Yu Cheng, Vincent Conitzer
We study the problem of automated mechanism design with partial verification, where each type can (mis)report only a restricted set of types (rather than any other type), induced by the principal's limited verification power.
1 code implementation • 18 Dec 2020 • Anilesh K. Krishnaswamy, Haoming Li, David Rein, Hanrui Zhang, Vincent Conitzer
To this end, we present {\sc IC-LR}, a modification of Logistic Regression that removes the incentive to strategically drop features.
1 code implementation • 15 Dec 2020 • Duncan C McElfresh, Lok Chan, Kenzie Doyle, Walter Sinnott-Armstrong, Vincent Conitzer, Jana Schaich Borg, John P Dickerson
The philosophy and psychology literature shows that indecision is a measurable and nuanced behavior -- and that there are several different reasons people are indecisive.
2 code implementations • NeurIPS 2020 • Steven Jecmen, Hanrui Zhang, Ryan Liu, Nihar B. Shah, Vincent Conitzer, Fei Fang
We further consider the problem of restricting the joint probability that certain suspect pairs of reviewers are assigned to certain papers, and show that this problem is NP-hard for arbitrary constraints on these joint probabilities but efficiently solvable for a practical special case.
1 code implementation • 19 May 2020 • Rachel Freedman, Jana Schaich Borg, Walter Sinnott-Armstrong, John P. Dickerson, Vincent Conitzer
In kidney exchanges, a central market maker allocates living kidney donors to patients in need of an organ.
no code implementations • NeurIPS 2019 • Hanrui Zhang, Yu Cheng, Vincent Conitzer
In other settings, the principal may not even be able to observe samples directly; instead, she must rely on signals that the agent is able to send based on the samples that he obtains, and he will choose these signals strategically.
no code implementations • 21 Sep 2017 • Mathijs de Weerdt, Michael Albert, Vincent Conitzer
In the smart grid, the intent is to use flexibility in demand, both to balance demand and supply as well as to resolve potential congestion.
no code implementations • 22 Jun 2017 • Vincent Conitzer, Christian Kroer, Eric Sodomka, Nicolas E. Stier-Moses
Although we show that computing either a social-welfare-maximizing or a revenue-maximizing pacing equilibrium is NP-hard, we present a mixed-integer program (MIP) that can be used to find equilibria optimizing several relevant objectives.
Computer Science and Game Theory
no code implementations • 19 May 2016 • Vincent Conitzer
In this article, I discuss how the AI community views concerns about the emergence of superintelligent AI and related philosophical issues.