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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
Online Decision Mediation Daniel Jarrett Alihan Huyuk M. Schaar 97 4 0 28 Oct 2023
Principled Approaches for Learning to Defer with Multiple Experts Anqi Mao M. Mohri Yutao Zhong 67 23 0 23 Oct 2023
Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and Algorithms Anqi Mao M. Mohri Yutao Zhong 88 27 0 23 Oct 2023
Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention Anqi Mao M. Mohri Yutao Zhong 50 24 0 23 Oct 2023
Fair Classifiers that Abstain without Harm Tongxin Yin Jean-François Ton Ruocheng Guo Yuanshun Yao Mingyan Liu Yang Liu 60 5 0 09 Oct 2023
Learning to Make Adherence-Aware Advice Guanting Chen Xiaocheng Li Chunlin Sun Hanzhao Wang 50 12 0 01 Oct 2023
Learning to Abstain From Uninformative Data Yikai Zhang Songzhu Zheng M. Dalirrooyfard Pengxiang Wu Anderson Schneider Anant Raj Yuriy Nevmyvaka Chao Chen 48 2 0 25 Sep 2023
Learning Point-wise Abstaining Penalty for Point Cloud Anomaly Detection Shaocong Xu Pengfei Li Xinyi Liu Qianpu Sun Yang Li ... Bo Jiang Rui Wang Kehua Sheng Bo Zhang Hao Zhao 3DPC 37 0 0 19 Sep 2023
Temporal Uncertainty Localization to Enable Human-in-the-loop Analysis of Dynamic Contrast-enhanced Cardiac MRI Datasets D. M. Yalcinkaya Khalid Youssef Bobak Heydari Orlando Simonetti R. Dharmakumar Subha V. Raman Behzad Sharif 31 0 0 25 Aug 2023
Label Selection Approach to Learning from Crowds Kosuke Yoshimura H. Kashima NoLa 18 0 0 21 Aug 2023
Learning to Guide Human Experts via Personalized Large Language Models Debodeep Banerjee Stefano Teso Andrea Passerini LLMAG 45 0 0 11 Aug 2023
When No-Rejection Learning is Consistent for Regression with Rejection Xiaocheng Li Shang Liu Chunlin Sun Hanrui Wang 79 1 0 06 Jul 2023
When Does Confidence-Based Cascade Deferral Suffice? Wittawat Jitkrittum Neha Gupta A. Menon Harikrishna Narasimhan A. S. Rawat Surinder Kumar 53 23 0 06 Jul 2023
The Neuro-Symbolic Inverse Planning Engine (NIPE): Modeling Probabilistic Social Inferences from Linguistic Inputs Lance Ying Katherine M. Collins Megan Wei Cedegao E. Zhang Tan Zhi-Xuan Adrian Weller J. Tenenbaum L. Wong 111 16 0 25 Jun 2023
Towards Regulatable AI Systems: Technical Gaps and Policy Opportunities Xudong Shen H. Brown Jiashu Tao Martin Strobel Yao Tong Akshay Narayan Harold Soh Finale Doshi-Velez 98 3 0 22 Jun 2023
When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming Hussein Mozannar Gagan Bansal Adam Fourney Eric Horvitz 107 28 0 08 Jun 2023
Designing Decision Support Systems Using Counterfactual Prediction Sets Eleni Straitouri Manuel Gomez Rodriguez OffRL 212 12 0 06 Jun 2023
Auditing for Human Expertise Rohan Alur Loren Laine Darrick K. Li Manish Raghavan Devavrat Shah Dennis L. Shung 57 8 0 02 Jun 2023
Designing Closed-Loop Models for Task Allocation Vijay Keswani L. E. Celis K. Kenthapadi Matthew Lease 59 0 0 31 May 2023
Training Private Models That Know What They Don't Know Stephan Rabanser Anvith Thudi Abhradeep Thakurta Krishnamurthy Dvijotham Nicolas Papernot 85 7 0 28 May 2023
In Search of Verifiability: Explanations Rarely Enable Complementary Performance in AI-Advised Decision Making Raymond Fok Daniel S. Weld 104 67 0 12 May 2023
MLHOps: Machine Learning for Healthcare Operations Kristoffer Larsen Vallijah Subasri A. Krishnan Cláudio Tinoco Mesquita Diana Paez Laleh Seyyed-Kalantari Amalia Peix LM&MA AI4TS VLM 64 2 0 04 May 2023
Stratified Adversarial Robustness with Rejection Jiefeng Chen Jayaram Raghuram Jihye Choi Xi Wu Yingyu Liang S. Jha 52 2 0 02 May 2023
Data-Driven Subgroup Identification for Linear Regression Zachary Izzo Ruishan Liu James Zou OOD 70 4 0 29 Apr 2023
Why not both? Complementing explanations with uncertainty, and the role of self-confidence in Human-AI collaboration I. Papantonis Vaishak Belle 27 0 0 27 Apr 2023
Learning to Defer with Limited Expert Predictions Patrick Hemmer Lukas Thede Michael Vossing Johannes Jakubik Niklas Kühl 45 15 0 14 Apr 2023
Learning Personalized Decision Support Policies Umang Bhatt Valerie Chen Katherine M. Collins Parameswaran Kamalaruban Emma Kallina Adrian Weller Ameet Talwalkar OffRL 220 11 0 13 Apr 2023
ASPEST: Bridging the Gap Between Active Learning and Selective Prediction Jiefeng Chen Jinsung Yoon Sayna Ebrahimi Sercan O. Arik S. Jha Tomas Pfister 106 1 0 07 Apr 2023
Human-AI Collaboration: The Effect of AI Delegation on Human Task Performance and Task Satisfaction Patrick Hemmer Monika Westphal Max Schemmer S. Vetter Michael Vossing G. Satzger 103 50 0 16 Mar 2023
Learning Complementary Policies for Human-AI Teams Ruijiang Gao M. Saar-Tsechansky Maria De-Arteaga Ligong Han Wei-Ju Sun Min Kyung Lee Matthew Lease 192 9 0 06 Feb 2023
Plugin estimators for selective classification with out-of-distribution detection Harikrishna Narasimhan A. Menon Wittawat Jitkrittum Surinder Kumar OODD 75 4 0 29 Jan 2023
Who Should Predict? Exact Algorithms For Learning to Defer to Humans Hussein Mozannar Hunter Lang Dennis L. Wei P. Sattigeri Subhro Das David Sontag 100 51 0 15 Jan 2023
Algorithmic Decision-Making Safeguarded by Human Knowledge Ningyuan Chen Mingya Hu Wenhao Li 59 5 0 20 Nov 2022
Improved Adaptive Algorithm for Scalable Active Learning with Weak Labeler Yifang Chen Karthik Sankararaman A. Lazaric Matteo Pirotta Dmytro Karamshuk Qifan Wang Karishma Mandyam Sinong Wang Han Fang 44 2 0 04 Nov 2022
Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles Rajeev Verma Daniel Barrejón Eric Nalisnick UQCV 62 35 0 30 Oct 2022
Learning When to Advise Human Decision Makers Gali Noti Yiling Chen 104 16 0 27 Sep 2022
Calibrated Selective Classification Adam Fisch Tommi Jaakkola Regina Barzilay 85 17 0 25 Aug 2022
Transcending XAI Algorithm Boundaries through End-User-Inspired Design Weina Jin Jianyu Fan D. Gromala Philippe Pasquier Xiaoxiao Li Ghassan Hamarneh 79 3 0 18 Aug 2022
Sample Efficient Learning of Predictors that Complement Humans Mohammad-Amin Charusaie Hussein Mozannar David Sontag Samira Samadi 73 34 0 19 Jul 2022
Human-AI Collaboration in Decision-Making: Beyond Learning to Defer Diogo Leitao Pedro Saleiro Mário A. T. Figueiredo P. Bizarro 72 21 0 27 Jun 2022
Towards Better Selective Classification Leo Feng Mohamed Osama Ahmed Hossein Hajimirsadeghi A. Abdi 77 23 0 17 Jun 2022
Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple Experts Patrick Hemmer Sebastian Schellhammer Michael Vossing Johannes Jakubik G. Satzger 72 39 0 16 Jun 2022
Predictive Multiplicity in Probabilistic Classification J. Watson-Daniels David C. Parkes Berk Ustun 82 42 0 02 Jun 2022
Selective Classification Via Neural Network Training Dynamics Stephan Rabanser Anvith Thudi Kimia Hamidieh Adam Dziedzic Nicolas Papernot 114 22 0 26 May 2022
Trucks Don't Mean Trump: Diagnosing Human Error in Image Analysis J.D. Zamfirescu-Pereira Jerry Chen Emily Wen Allison Koenecke N. Garg Emma Pierson 58 6 0 15 May 2022
Affective Medical Estimation and Decision Making via Visualized Learning and Deep Learning M. Eslami Solale Tabarestani Ehsan Adeli G. Elwyn T. Elze Mengyu Wang Nazlee Zebardast Nassir Navab M. Adjouadi 37 0 0 09 May 2022
The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations Aparna Balagopalan Haoran Zhang Kimia Hamidieh Thomas Hartvigsen Frank Rudzicz Marzyeh Ghassemi 85 80 0 06 May 2022
On the Utility of Prediction Sets in Human-AI Teams Varun Babbar Umang Bhatt Adrian Weller 75 33 0 03 May 2022
A Taxonomy of Human and ML Strengths in Decision-Making to Investigate Human-ML Complementarity Charvi Rastogi Liu Leqi Kenneth Holstein Hoda Heidari 137 12 0 22 Apr 2022
Concept-based Explanations for Out-Of-Distribution Detectors Jihye Choi Jayaram Raghuram Ryan Feng Jiefeng Chen S. Jha Atul Prakash OODD 38 12 0 04 Mar 2022