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Consistent Estimators for Learning to Defer to an Expert

2 June 2020

Papers citing "Consistent Estimators for Learning to Defer to an Expert"

50 / 135 papers shown

Title
Cohort Discovery: A Survey on LLM-Assisted Clinical Trial Recruitment Shrestha Ghosh Moritz Schneider Carina Reinicke Carsten Eickhoff 14 0 0 18 Jun 2025
DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models Chengbo He Bochao Zou Junliang Xing Jiansheng Chen Yuanchun Shi Huimin Ma 32 0 0 25 May 2025
A Connection Between Learning to Reject and Bhattacharyya Divergences Alexander Soen 87 0 0 08 May 2025
Why Ask One When You Can Ask $k$ ? Two-Stage Learning-to-Defer to the Top- $k$ Experts Yannis Montreuil Axel Carlier Lai Xing Ng Wei Tsang Ooi 70 1 0 17 Apr 2025
On the clustering behavior of sliding windows Boris Alexeev Wenyan Luo Dustin G. Mixon Yan X Zhang AI4TS 143 0 0 18 Mar 2025
Learning to Defer for Causal Discovery with Imperfect Experts Oscar Clivio Divyat Mahajan Perouz Taslakian Sara Magliacane Ioannis Mitliagkas Valentina Zantedeschi Alexandre Drouin CML 166 0 0 18 Feb 2025
Revisiting Rogers' Paradox in the Context of Human-AI Interaction Katherine M. Collins Umang Bhatt Ilia Sucholutsky 151 1 0 16 Jan 2025
Reweighting Improves Conditional Risk Bounds Yikai Zhang Jiahe Lin Fengpei Li Songzhu Zheng Anant Raj Anderson Schneider Yuriy Nevmyvaka 65 1 0 04 Jan 2025
Learning Causal Transition Matrix for Instance-dependent Label Noise Jiahui Li Tai-wei Chang Kun Kuang Ximing Li Long Chen Zhiqiang Zhang NoLa CML 531 0 0 18 Dec 2024
Cocoa: Co-Planning and Co-Execution with AI Agents K. J. Kevin Feng Kevin Pu Matt Latzke Tal August Pao Siangliulue Jonathan Bragg Daniel S. Weld Amy X. Zhang Joseph Chee Chang LM&Ro LLMAG 208 7 0 14 Dec 2024
Learning to Route LLMs with Confidence Tokens Yu-Neng Chuang Helen Zhou Prathusha Kameswara Sarma Parikshit Gopalan John Boccio Sara Bolouki Helen Zhou 83 0 0 17 Oct 2024
Decision-Point Guided Safe Policy Improvement Abhishek Sharma Leo Benac S. Parbhoo Finale Doshi-Velez OffRL 70 1 0 12 Oct 2024
Integrating Expert Judgment and Algorithmic Decision Making: An Indistinguishability Framework Rohan Alur Loren Laine Darrick K. Li Dennis L. Shung Manish Raghavan Devavrat Shah 76 2 0 11 Oct 2024
Learning To Help: Training Models to Assist Legacy Devices Yu Wu Anand Sarwate 63 1 0 24 Sep 2024
Abstaining Machine Learning -- Philosophical Considerations Daniela Schuster 70 0 0 01 Sep 2024
Building Machines that Learn and Think with People Katherine M. Collins Ilia Sucholutsky Umang Bhatt Kartik Chandra Lionel Wong ... Mark K. Ho Vikash K. Mansinghka Adrian Weller Joshua B. Tenenbaum Thomas Griffiths 133 38 0 22 Jul 2024
Realizable $H$ -Consistent and Bayes-Consistent Loss Functions for Learning to Defer Anqi Mao M. Mohri Yutao Zhong 67 10 0 18 Jul 2024
A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems Mohammad-Amin Charusaie Samira Samadi 52 1 0 17 Jul 2024
Are They the Same Picture? Adapting Concept Bottleneck Models for Human-AI Collaboration in Image Retrieval Vaibhav Balloli Sara Beery Elizabeth Bondi-Kelly 74 0 0 12 Jul 2024
Learning to Complement and to Defer to Multiple Users Zheng Zhang Wenjie Ai Kevin Wells David Rosewarne Thanh-Toan Do Gustavo Carneiro 82 2 0 09 Jul 2024
Evaluating Human-AI Collaboration: A Review and Methodological Framework George Fragiadakis Christos Diou George Kousiouris Mara Nikolaidou 110 17 0 09 Jul 2024
Modulating Language Model Experiences through Frictions Katherine M. Collins Valerie Chen Ilia Sucholutsky Hannah Rose Kirk Malak Sadek Holli Sargeant Ameet Talwalkar Adrian Weller Umang Bhatt KELM 116 5 0 24 Jun 2024
Controlling Counterfactual Harm in Decision Support Systems Based on Prediction Sets Eleni Straitouri Suhas Thejaswi Manuel Gomez Rodriguez 108 1 0 10 Jun 2024
Cascade-Aware Training of Language Models Congchao Wang Sean Augenstein Keith Rush Wittawat Jitkrittum Harikrishna Narasimhan A. S. Rawat A. Menon Alec Go 81 4 0 29 May 2024
A Causal Framework for Evaluating Deferring Systems Filippo Palomba Andrea Pugnana Jose M. Alvarez Salvatore Ruggieri CML 142 4 0 29 May 2024
Rejection via Learning Density Ratios Alexander Soen Hisham Husain Philip Schulz Vu-Linh Nguyen 135 2 0 29 May 2024
Towards Human-AI Complementarity with Predictions Sets Giovanni De Toni Nastaran Okati Suhas Thejaswi Eleni Straitouri Manuel Gomez Rodriguez 139 7 0 27 May 2024
Selective Annotation via Data Allocation: These Data Should Be Triaged to Experts for Annotation Rather Than the Model Chen Huang Yang Deng Wenqiang Lei Jiancheng Lv Ido Dagan 77 4 0 20 May 2024
Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees Yu Gui Ying Jin Zhimei Ren MedIm 237 24 0 16 May 2024
To Ask or Not To Ask: Human-in-the-loop Contextual Bandits with Applications in Robot-Assisted Feeding Rohan Banerjee Rajat Kumar Jenamani Sidharth Vasudev Amal Nanavati Katherine Dimitropoulou Sarah Dean Tapomayukh Bhattacharjee 223 2 0 11 May 2024
A Universal Growth Rate for Learning with Smooth Surrogate Losses Anqi Mao M. Mohri Yutao Zhong 61 7 0 09 May 2024
Consistency and Uncertainty: Identifying Unreliable Responses From Black-Box Vision-Language Models for Selective Visual Question Answering Zaid Khan Yun Fu AAML 83 10 0 16 Apr 2024
Language Model Cascades: Token-level uncertainty and beyond Neha Gupta Harikrishna Narasimhan Wittawat Jitkrittum A. S. Rawat A. Menon Sanjiv Kumar UQLM 140 56 0 15 Apr 2024
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World Bowen Lei Dongkuan Xu Ruqi Zhang Bani Mallick UQCV 89 0 0 29 Mar 2024
Regression with Multi-Expert Deferral Anqi Mao M. Mohri Yutao Zhong 79 14 0 28 Mar 2024
Complementarity in Human-AI Collaboration: Concept, Sources, and Evidence Patrick Hemmer Max Schemmer Niklas Kühl Michael Vossing G. Satzger 86 18 0 21 Mar 2024
Towards Non-Adversarial Algorithmic Recourse Tobias Leemann Martin Pawelczyk Bardh Prenkaj Gjergji Kasneci AAML 81 2 0 15 Mar 2024
Cost-Sensitive Learning to Defer to Multiple Experts with Workload Constraints Jean V. Alves Diogo Leitao Sérgio Jesus Marco O. P. Sampaio Javier Liébana Pedro Saleiro Mário A. T. Figueiredo P. Bizarro 63 6 0 11 Mar 2024
Learning to Decode Collaboratively with Multiple Language Models Zejiang Shen Hunter Lang Bailin Wang Yoon Kim David Sontag 89 36 0 06 Mar 2024
Learning to Defer to a Population: A Meta-Learning Approach Dharmesh Tailor Aditya Patra Rajeev Verma Putra Manggala Eric Nalisnick 63 11 0 05 Mar 2024
AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems Clara Punzi Roberto Pellungrini Mattia Setzu F. Giannotti D. Pedreschi 76 6 0 09 Feb 2024
Human Expertise in Algorithmic Prediction Rohan Alur Manish Raghavan Devavrat Shah 56 1 0 01 Feb 2024
A2C: A Modular Multi-stage Collaborative Decision Framework for Human-AI Teams Shahroz Tariq Mohan Baruwal Chhetri Surya Nepal Cécile Paris 87 8 0 25 Jan 2024
Uncertainty Quantification on Clinical Trial Outcome Prediction Tianyi Chen Yingzhou Lu Nan Hao Capucine Van Rechem Jintai Chen Tianfan Fu 117 23 0 07 Jan 2024
Bayesian Online Learning for Consensus Prediction Sam Showalter Alex Boyd Padhraic Smyth M. Steyvers 56 2 0 12 Dec 2023
Learning to Complement with Multiple Humans Zheng Zhang Cuong C. Nguyen Kevin Wells Thanh-Toan Do Gustavo Carneiro 75 0 0 22 Nov 2023
Llamas Know What GPTs Don't Show: Surrogate Models for Confidence Estimation Vaishnavi Shrivastava Percy Liang Ananya Kumar 82 32 0 15 Nov 2023
Optimising Human-AI Collaboration by Learning Convincing Explanations Alex J. Chan Alihan Huyuk M. Schaar 87 3 0 13 Nov 2023
In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer Yuzhou Cao Hussein Mozannar Lei Feng Hongxin Wei Bo An 108 19 0 02 Nov 2023
Effective Human-AI Teams via Learned Natural Language Rules and Onboarding Hussein Mozannar Jimin J Lee Dennis L. Wei P. Sattigeri Subhro Das David Sontag 131 13 0 02 Nov 2023