Timezone: »
Metric Elicitation is a principled framework for selecting the performance metric that best reflects implicit user preferences. However, available strategies have so far been limited to binary classification. In this paper, we propose novel strategies for eliciting multiclass classification performance metrics using only relative preference feedback. We also show that the strategies are robust to both finite sample and feedback noise.
Author Information
Gaurush Hiranandani (University of Illinois at Urbana-Champaign)
Shant Boodaghians (UIUC)
Ruta Mehta (UIUC)
Sanmi Koyejo (UIUC)

Sanmi Koyejo an Assistant Professor in the Department of Computer Science at Stanford University. Koyejo also spends time at Google as a part of the Brain team. Koyejo's research interests are in developing the principles and practice of trustworthy machine learning. Additionally, Koyejo focuses on applications to neuroscience and healthcare. Koyejo has been the recipient of several awards, including a best paper award from the conference on uncertainty in artificial intelligence (UAI), a Skip Ellis Early Career Award, and a Sloan Fellowship. Koyejo serves as the president of the Black in AI organization.
More from the Same Authors
-
2021 : Probabilistic Performance Metric Elicitation »
Zachary Robertson · Hantao Zhang · Sanmi Koyejo -
2021 : Robust and Personalized Federated Learning with Spurious Features: an Adversarial Approach »
Xiaoyang Wang · Han Zhao · Klara Nahrstedt · Sanmi Koyejo -
2021 : RVFR: Robust Vertical Federated Learning via Feature Subspace Recovery »
Jing Liu · Chulin Xie · Krishnaram Kenthapadi · Sanmi Koyejo · Bo Li -
2021 : Secure Byzantine-Robust Distributed Learning via Clustering »
Raj Kiriti Velicheti · Sanmi Koyejo -
2021 : Exploiting Causal Chains for Domain Generalization »
Olawale Salaudeen · Sanmi Koyejo -
2021 : Distribution Preserving Bayesian Coresets using Set Constraints »
Shovik Guha · Rajiv Khanna · Sanmi Koyejo -
2022 : Metric Elicitation; Moving from Theory to Practice »
Safinah Ali · Sohini Upadhyay · Gaurush Hiranandani · Elena Glassman · Sanmi Koyejo -
2022 : The Curse of Low Task Diversity: On the Failure of Transfer Learning to Outperform MAML and Their Empirical Equivalence »
Brando Miranda · Patrick Yu · Yu-Xiong Wang · Sanmi Koyejo -
2022 : Batch Active Learning from the Perspective of Sparse Approximation »
Maohao Shen · Yibo Jacky Zhang · Bowen Jiang · Sanmi Koyejo -
2023 Poster: Are Emergent Abilities of Large Language Models a Mirage? »
Rylan Schaeffer · Brando Miranda · Sanmi Koyejo -
2023 Poster: Incentives in Federated Learning: Equilibria, Dynamics, and Mechanisms for Welfare Maximization »
Aniket Murhekar · Zhuowen Yuan · Bhaskar Ray Chaudhury · Bo Li · Ruta Mehta -
2023 Poster: Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells »
Rylan Schaeffer · Mikail Khona · Tzuhsuan Ma · Cristobal Eyzaguirre · Sanmi Koyejo · Ila Fiete -
2023 Poster: DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models »
Boxin Wang · Weixin Chen · Hengzhi Pei · Chulin Xie · Mintong Kang · Chenhui Zhang · Chejian Xu · Zidi Xiong · Ritik Dutta · Rylan Schaeffer · Sang Truong · Simran Arora · Mantas Mazeika · Dan Hendrycks · Zinan Lin · Yu Cheng · Sanmi Koyejo · Dawn Song · Bo Li -
2023 Oral: DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models »
Boxin Wang · Weixin Chen · Hengzhi Pei · Chulin Xie · Mintong Kang · Chenhui Zhang · Chejian Xu · Zidi Xiong · Ritik Dutta · Rylan Schaeffer · Sang Truong · Simran Arora · Mantas Mazeika · Dan Hendrycks · Zinan Lin · Yu Cheng · Sanmi Koyejo · Dawn Song · Bo Li -
2023 Oral: Are Emergent Abilities of Large Language Models a Mirage? »
Rylan Schaeffer · Brando Miranda · Sanmi Koyejo -
2022 Spotlight: Fairness in Federated Learning via Core-Stability »
Bhaskar Ray Chaudhury · Linyi Li · Mintong Kang · Bo Li · Ruta Mehta -
2022 Spotlight: Lightning Talks 1A-4 »
Siwei Wang · Jing Liu · Nianqiao Ju · Shiqian Li · Eloïse Berthier · Muhammad Faaiz Taufiq · Arsene Fansi Tchango · Chen Liang · Chulin Xie · Jordan Awan · Jean-Francois Ton · Ziad Kobeissi · Wenguan Wang · Xinwang Liu · Kewen Wu · Rishab Goel · Jiaxu Miao · Suyuan Liu · Julien Martel · Ruobin Gong · Francis Bach · Chi Zhang · Rob Cornish · Sanmi Koyejo · Zhi Wen · Yee Whye Teh · Yi Yang · Jiaqi Jin · Bo Li · Yixin Zhu · Vinayak Rao · Wenxuan Tu · Gaetan Marceau Caron · Arnaud Doucet · Xinzhong Zhu · Joumana Ghosn · En Zhu -
2022 Spotlight: CoPur: Certifiably Robust Collaborative Inference via Feature Purification »
Jing Liu · Chulin Xie · Sanmi Koyejo · Bo Li -
2022 Poster: Diagnosing failures of fairness transfer across distribution shift in real-world medical settings »
Jessica Schrouff · Natalie Harris · Sanmi Koyejo · Ibrahim Alabdulmohsin · Eva Schnider · Krista Opsahl-Ong · Alexander Brown · Subhrajit Roy · Diana Mincu · Christina Chen · Awa Dieng · Yuan Liu · Vivek Natarajan · Alan Karthikesalingam · Katherine Heller · Silvia Chiappa · Alexander D'Amour -
2022 Poster: Fairness in Federated Learning via Core-Stability »
Bhaskar Ray Chaudhury · Linyi Li · Mintong Kang · Bo Li · Ruta Mehta -
2022 Poster: A Reduction to Binary Approach for Debiasing Multiclass Datasets »
Ibrahim Alabdulmohsin · Jessica Schrouff · Sanmi Koyejo -
2022 Poster: CoPur: Certifiably Robust Collaborative Inference via Feature Purification »
Jing Liu · Chulin Xie · Sanmi Koyejo · Bo Li -
2022 Poster: Fair Wrapping for Black-box Predictions »
Alexander Soen · Ibrahim Alabdulmohsin · Sanmi Koyejo · Yishay Mansour · Nyalleng Moorosi · Richard Nock · Ke Sun · Lexing Xie -
2022 Poster: A Nonconvex Framework for Structured Dynamic Covariance Recovery »
Katherine Tsai · Mladen Kolar · Sanmi Koyejo -
2020 Poster: CSER: Communication-efficient SGD with Error Reset »
Cong Xie · Shuai Zheng · Sanmi Koyejo · Indranil Gupta · Mu Li · Haibin Lin -
2020 Poster: Fairness with Overlapping Groups; a Probabilistic Perspective »
Forest Yang · Mouhamadou M Cisse · Sanmi Koyejo -
2020 Poster: Fair Performance Metric Elicitation »
Gaurush Hiranandani · Harikrishna Narasimhan · Sanmi Koyejo -
2019 : Poster session »
Sebastian Farquhar · Erik Daxberger · Andreas Look · Matt Benatan · Ruiyi Zhang · Marton Havasi · Fredrik Gustafsson · James A Brofos · Nabeel Seedat · Micha Livne · Ivan Ustyuzhaninov · Adam Cobb · Felix D McGregor · Patrick McClure · Tim R. Davidson · Gaurush Hiranandani · Sanjeev Arora · Masha Itkina · Didrik Nielsen · William Harvey · Matias Valdenegro-Toro · Stefano Peluchetti · Riccardo Moriconi · Tianyu Cui · Vaclav Smidl · Taylan Cemgil · Jack Fitzsimons · He Zhao · · mariana vargas vieyra · Apratim Bhattacharyya · Rahul Sharma · Geoffroy Dubourg-Felonneau · Jonathan Warrell · Slava Voloshynovskiy · Mihaela Rosca · Jiaming Song · Andrew Ross · Homa Fashandi · Ruiqi Gao · Hooshmand Shokri Razaghi · Joshua Chang · Zhenzhong Xiao · Vanessa Boehm · Giorgio Giannone · Ranganath Krishnan · Joe Davison · Arsenii Ashukha · Jeremiah Liu · Sicong (Sheldon) Huang · Evgenii Nikishin · Sunho Park · Nilesh Ahuja · Mahesh Subedar · · Artyom Gadetsky · Jhosimar Arias Figueroa · Tim G. J. Rudner · Waseem Aslam · Adrián Csiszárik · John Moberg · Ali Hebbal · Kathrin Grosse · Pekka Marttinen · Bang An · Hlynur Jónsson · Samuel Kessler · Abhishek Kumar · Mikhail Figurnov · Omesh Tickoo · Steindor Saemundsson · Ari Heljakka · Dániel Varga · Niklas Heim · Simone Rossi · Max Laves · Waseem Gharbieh · Nicholas Roberts · Luis Armando Pérez Rey · Matthew Willetts · Prithvijit Chakrabarty · Sumedh Ghaisas · Carl Shneider · Wray Buntine · Kamil Adamczewski · Xavier Gitiaux · Suwen Lin · Hao Fu · Gunnar Rätsch · Aidan Gomez · Erik Bodin · Dinh Phung · Lennart Svensson · Juliano Tusi Amaral Laganá Pinto · Milad Alizadeh · Jianzhun Du · Kevin Murphy · Beatrix Benkő · Shashaank Vattikuti · Jonathan Gordon · Christopher Kanan · Sontje Ihler · Darin Graham · Michael Teng · Louis Kirsch · Tomas Pevny · Taras Holotyak -
2019 Poster: Learning Sparse Distributions using Iterative Hard Thresholding »
Jacky Zhang · Rajiv Khanna · Anastasios Kyrillidis · Sanmi Koyejo -
2019 Tutorial: Representation Learning and Fairness »
Moustapha Cisse · Sanmi Koyejo -
2016 Oral: Examples are not enough, learn to criticize! Criticism for Interpretability »
Been Kim · Sanmi Koyejo · Rajiv Khanna -
2016 Poster: Generalized Correspondence-LDA Models (GC-LDA) for Identifying Functional Regions in the Brain »
Timothy Rubin · Sanmi Koyejo · Michael Jones · Tal Yarkoni -
2016 Poster: Preference Completion from Partial Rankings »
Suriya Gunasekar · Sanmi Koyejo · Joydeep Ghosh -
2016 Poster: Examples are not enough, learn to criticize! Criticism for Interpretability »
Been Kim · Sanmi Koyejo · Rajiv Khanna -
2015 Poster: Consistent Multilabel Classification »
Oluwasanmi Koyejo · Nagarajan Natarajan · Pradeep Ravikumar · Inderjit Dhillon -
2014 Poster: On Prior Distributions and Approximate Inference for Structured Variables »
Sanmi Koyejo · Rajiv Khanna · Joydeep Ghosh · Russell Poldrack -
2014 Poster: Consistent Binary Classification with Generalized Performance Metrics »
Sanmi Koyejo · Nagarajan Natarajan · Pradeep Ravikumar · Inderjit Dhillon -
2014 Spotlight: Consistent Binary Classification with Generalized Performance Metrics »
Sanmi Koyejo · Nagarajan Natarajan · Pradeep Ravikumar · Inderjit Dhillon -
2014 Poster: Sparse Bayesian structure learning with dependent relevance determination prior »
Anqi Wu · Mijung Park · Sanmi Koyejo · Jonathan W Pillow