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Soft Condorcet Optimization for Ranking of General Agents
Adaptive Agents and Multi-Agent Systems (AAMAS), 2024
31 October 2024
Marc Lanctot
Kate Larson
Michael Kaisers
Quentin Berthet
I. Gemp
Manfred Diaz
Roberto-Rafael Maura-Rivero
Yoram Bachrach
Anna Koop
Doina Precup
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Papers citing
"Soft Condorcet Optimization for Ranking of General Agents"
30 / 30 papers shown
Title
Approximating Condorcet Ordering for Vector-valued Mathematical Morphology
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Santiago Velasco-Forero
Joao Batista Florindo
Gustavo Jesus Angulo
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08 Sep 2025
Jackpot! Alignment as a Maximal Lottery
Roberto-Rafael Maura-Rivero
Marc Lanctot
Francesco Visin
Kate Larson
173
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31 Jan 2025
Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback
Vincent Conitzer
Rachel Freedman
J. Heitzig
Wesley H. Holliday
Bob M. Jacobs
...
Eric Pacuit
Stuart Russell
Hailey Schoelkopf
Emanuel Tewolde
W. Zwicker
254
54
0
16 Apr 2024
Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference
Wei-Lin Chiang
Lianmin Zheng
Ying Sheng
Anastasios Nikolas Angelopoulos
Tianle Li
...
Hao Zhang
Banghua Zhu
Michael I. Jordan
Joseph E. Gonzalez
Ion Stoica
OSLM
327
921
0
07 Mar 2024
A Minimaximalist Approach to Reinforcement Learning from Human Feedback
International Conference on Machine Learning (ICML), 2024
Gokul Swamy
Christoph Dann
Rahul Kidambi
Zhiwei Steven Wu
Alekh Agarwal
OffRL
376
127
0
08 Jan 2024
Elo Uncovered: Robustness and Best Practices in Language Model Evaluation
IEEE Games Entertainment Media Conference (IEEE GEM), 2023
M. Boubdir
Edward Kim
Beyza Ermis
Sara Hooker
Marzieh Fadaee
ELM
184
61
0
29 Nov 2023
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena
Neural Information Processing Systems (NeurIPS), 2023
Lianmin Zheng
Wei-Lin Chiang
Ying Sheng
Siyuan Zhuang
Zhanghao Wu
...
Dacheng Li
Eric Xing
Haotong Zhang
Joseph E. Gonzalez
Ion Stoica
ALM
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6,197
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09 Jun 2023
Differentiable Clustering with Perturbed Spanning Forests
Neural Information Processing Systems (NeurIPS), 2023
Lawrence Stewart
Francis R. Bach
Felipe Llinares-López
Quentin Berthet
231
11
0
25 May 2023
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective
International Conference on Machine Learning (ICML), 2023
Michael E. Sander
J. Puigcerver
Josip Djolonga
Gabriel Peyré
Mathieu Blondel
369
29
0
02 Feb 2023
Voteñ'Rank: Revision of Benchmarking with Social Choice Theory
Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2022
Mark Rofin
Vladislav Mikhailov
Mikhail Florinskiy
A. Kravchenko
E. Tutubalina
Tatiana Shavrina
Daniel Karabekyan
Ekaterina Artemova
250
15
0
11 Oct 2022
On the Limitations of Elo: Real-World Games, are Transitive, not Additive
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Quentin Bertrand
Wojciech M. Czarnecki
Gauthier Gidel
286
25
0
21 Jun 2022
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Aarohi Srivastava
Abhinav Rastogi
Abhishek Rao
Abu Awal Md Shoeb
Abubakar Abid
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Zhuoye Zhao
Zijian Wang
Zijie J. Wang
Zirui Wang
Ziyi Wu
ELM
588
2,079
0
09 Jun 2022
Fast Stochastic Composite Minimization and an Accelerated Frank-Wolfe Algorithm under Parallelization
Neural Information Processing Systems (NeurIPS), 2022
Benjamin Dubois-Taine
Francis R. Bach
Quentin Berthet
Adrien B. Taylor
204
5
0
25 May 2022
Differentiable Rendering with Perturbed Optimizers
Quentin Le Lidec
Ivan Laptev
Cordelia Schmid
Justin Carpentier
140
17
0
18 Oct 2021
Differentiable Patch Selection for Image Recognition
Computer Vision and Pattern Recognition (CVPR), 2021
Jean-Baptiste Cordonnier
Aravindh Mahendran
Alexey Dosovitskiy
Dirk Weissenborn
Jakob Uszkoreit
Thomas Unterthiner
153
106
0
07 Apr 2021
GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection
Computer Vision and Pattern Recognition (CVPR), 2021
Abhinav Kumar
Garrick Brazil
Xiaoming Liu
165
108
0
31 Mar 2021
Self-Supervised Learning of Audio Representations from Permutations with Differentiable Ranking
IEEE Signal Processing Letters (IEEE SPL), 2021
Andrew N. Carr
Quentin Berthet
Mathieu Blondel
O. Teboul
Neil Zeghidour
SSL
147
28
0
17 Mar 2021
Gradient Estimation with Stochastic Softmax Tricks
Neural Information Processing Systems (NeurIPS), 2020
Max B. Paulus
Dami Choi
Daniel Tarlow
Andreas Krause
Chris J. Maddison
BDL
252
93
0
15 Jun 2020
Fast Differentiable Sorting and Ranking
International Conference on Machine Learning (ICML), 2020
Mathieu Blondel
O. Teboul
Quentin Berthet
Josip Djolonga
341
253
0
20 Feb 2020
Introduction to Online Convex Optimization
Elad Hazan
OffRL
542
2,063
0
07 Sep 2019
Learning with Fenchel-Young Losses
Mathieu Blondel
André F. T. Martins
Vlad Niculae
320
157
0
08 Jan 2019
Re-evaluating Evaluation
David Balduzzi
K. Tuyls
Julien Perolat
T. Graepel
MoMe
229
109
0
07 Jun 2018
Differentiable Dynamic Programming for Structured Prediction and Attention
A. Mensch
Mathieu Blondel
180
138
0
11 Feb 2018
Stochastic Gradient Descent as Approximate Bayesian Inference
Stephan Mandt
Matthew D. Hoffman
David M. Blei
BDL
264
656
0
13 Apr 2017
Soft-DTW: a Differentiable Loss Function for Time-Series
Marco Cuturi
Mathieu Blondel
AI4TS
314
737
0
05 Mar 2017
A Variational Analysis of Stochastic Gradient Algorithms
Stephan Mandt
Matthew D. Hoffman
David M. Blei
167
166
0
08 Feb 2016
Simple, Robust and Optimal Ranking from Pairwise Comparisons
Nihar B. Shah
Martin J. Wainwright
615
195
0
30 Dec 2015
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances
Neural Information Processing Systems (NeurIPS), 2013
Marco Cuturi
OT
640
4,806
0
04 Jun 2013
The Arcade Learning Environment: An Evaluation Platform for General Agents
Journal of Artificial Intelligence Research (JAIR), 2012
Marc G. Bellemare
Yavar Naddaf
J. Veness
Michael Bowling
295
3,176
0
19 Jul 2012
Common Voting Rules as Maximum Likelihood Estimators
Conference on Uncertainty in Artificial Intelligence (UAI), 2005
Vincent Conitzer
Tuomas Sandholm
142
186
0
04 Jul 2012
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