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Regression Under Human Assistance
v1v2v3v4 (latest)

Regression Under Human Assistance

AAAI Conference on Artificial Intelligence (AAAI), 2019
6 September 2019
A. De
William Orchard
Paramita Koley
Niloy Ganguly
Manuel Gomez Rodriguez
ArXiv (abs)PDFHTML

Papers citing "Regression Under Human Assistance"

40 / 40 papers shown
Title
Budgeted Multiple-Expert Deferral
Budgeted Multiple-Expert Deferral
Giulia DeSalvo
Clara Mohri
M. Mohri
Yutao Zhong
44
0
0
30 Oct 2025
Learning To Defer To A Population With Limited Demonstrations
Learning To Defer To A Population With Limited Demonstrations
Nilesh Ramgolam
Gustavo Carneiro
Hsiang-Ting Chen
64
0
0
22 Oct 2025
Narrowing Action Choices with AI Improves Human Sequential Decisions
Narrowing Action Choices with AI Improves Human Sequential Decisions
Eleni Straitouri
Stratis Tsirtsis
Ander Artola Velasco
Manuel Gomez Rodriguez
60
0
0
17 Oct 2025
Towards Human-AI Complementarity in Matching Tasks
Towards Human-AI Complementarity in Matching Tasks
Adrián Arnaiz-Rodríguez
N. C. Benz
Suhas Thejaswi
Nuria Oliver
Manuel Gomez Rodriguez
98
3
0
18 Aug 2025
Unraveling Human-AI Teaming: A Review and Outlook
Unraveling Human-AI Teaming: A Review and Outlook
Bowen Lou
Tian Lu
T. S. Raghu
Yingjie Zhang
402
6
0
08 Apr 2025
Efficient Data Subset Selection to Generalize Training Across Models:
  Transductive and Inductive Networks
Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive NetworksNeural Information Processing Systems (NeurIPS), 2024
Eeshaan Jain
Tushar Nandy
Gaurav Aggarwal
Ashish Tendulkar
Rishabh K. Iyer
A. De
168
18
0
18 Sep 2024
Realizable $H$-Consistent and Bayes-Consistent Loss Functions for
  Learning to Defer
Realizable HHH-Consistent and Bayes-Consistent Loss Functions for Learning to Defer
Anqi Mao
M. Mohri
Yutao Zhong
184
22
0
18 Jul 2024
A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer
  Problems
A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems
Mohammad-Amin Charusaie
Samira Samadi
159
4
0
17 Jul 2024
A Causal Framework for Evaluating Deferring Systems
A Causal Framework for Evaluating Deferring Systems
Filippo Palomba
Andrea Pugnana
Jose M. Alvarez
Salvatore Ruggieri
CML
324
9
0
29 May 2024
Towards Human-AI Complementarity with Predictions Sets
Towards Human-AI Complementarity with Predictions Sets
Giovanni De Toni
William Orchard
Suhas Thejaswi
Eleni Straitouri
Manuel Gomez Rodriguez
280
16
0
27 May 2024
Regression with Multi-Expert Deferral
Regression with Multi-Expert Deferral
Anqi Mao
M. Mohri
Yutao Zhong
164
25
0
28 Mar 2024
Learning To Guide Human Decision Makers With Vision-Language Models
Learning To Guide Human Decision Makers With Vision-Language Models
Debodeep Banerjee
Stefano Teso
Burcu Sayin
Baptiste Caramiaux
226
2
0
25 Mar 2024
Towards Non-Adversarial Algorithmic Recourse
Towards Non-Adversarial Algorithmic Recourse
Tobias Leemann
Martin Pawelczyk
Bardh Prenkaj
Gjergji Kasneci
AAML
197
3
0
15 Mar 2024
AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems
AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems
Clara Punzi
Roberto Pellungrini
Mattia Setzu
F. Giannotti
D. Pedreschi
273
8
0
09 Feb 2024
A2C: A Modular Multi-stage Collaborative Decision Framework for Human-AI
  Teams
A2C: A Modular Multi-stage Collaborative Decision Framework for Human-AI TeamsExpert systems with applications (ESWA), 2024
Shahroz Tariq
Mohan Baruwal Chhetri
Surya Nepal
Cécile Paris
199
15
0
25 Jan 2024
Uncertainty Quantification on Clinical Trial Outcome Prediction
Uncertainty Quantification on Clinical Trial Outcome Prediction
Tianyi Chen
Yingzhou Lu
Nan Hao
Capucine Van Rechem
Jintai Chen
Tianfan Fu
258
28
0
07 Jan 2024
Principled Approaches for Learning to Defer with Multiple Experts
Principled Approaches for Learning to Defer with Multiple ExpertsInternational Symposium on Artificial Intelligence and Mathematics (ISAIM), 2023
Anqi Mao
M. Mohri
Yutao Zhong
142
36
0
23 Oct 2023
Confounding-Robust Policy Improvement with Human-AI Teams
Confounding-Robust Policy Improvement with Human-AI Teams
Ruijiang Gao
Mingzhang Yin
552
5
0
13 Oct 2023
Learning to Guide Human Experts via Personalized Large Language Models
Learning to Guide Human Experts via Personalized Large Language Models
Debodeep Banerjee
Stefano Teso
Baptiste Caramiaux
LLMAG
102
0
0
11 Aug 2023
Submodular Maximization under the Intersection of Matroid and Knapsack
  Constraints
Submodular Maximization under the Intersection of Matroid and Knapsack ConstraintsAAAI Conference on Artificial Intelligence (AAAI), 2023
Yuzhou Gu
Chao Bian
Chao Qian
146
4
0
18 Jul 2023
When No-Rejection Learning is Consistent for Regression with Rejection
When No-Rejection Learning is Consistent for Regression with RejectionInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Xiaocheng Li
Shang Liu
Chunlin Sun
Hanrui Wang
171
1
0
06 Jul 2023
Designing Decision Support Systems Using Counterfactual Prediction Sets
Designing Decision Support Systems Using Counterfactual Prediction SetsInternational Conference on Machine Learning (ICML), 2023
Eleni Straitouri
Manuel Gomez Rodriguez
OffRL
417
23
0
06 Jun 2023
Learning to Defer with Limited Expert Predictions
Learning to Defer with Limited Expert PredictionsAAAI Conference on Artificial Intelligence (AAAI), 2023
Patrick Hemmer
Lukas Thede
Michael Vossing
Johannes Jakubik
Niklas Kühl
85
23
0
14 Apr 2023
Learning Complementary Policies for Human-AI Teams
Learning Complementary Policies for Human-AI Teams
Ruijiang Gao
M. Saar-Tsechansky
Maria De-Arteaga
275
10
0
06 Feb 2023
Who Should Predict? Exact Algorithms For Learning to Defer to Humans
Who Should Predict? Exact Algorithms For Learning to Defer to HumansInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Hussein Mozannar
Hunter Lang
Dennis L. Wei
P. Sattigeri
Subhro Das
David Sontag
185
66
0
15 Jan 2023
Neural Estimation of Submodular Functions with Applications to
  Differentiable Subset Selection
Neural Estimation of Submodular Functions with Applications to Differentiable Subset SelectionNeural Information Processing Systems (NeurIPS), 2022
A. De
Soumen Chakrabarti
281
7
0
20 Oct 2022
Taking Advice from (Dis)Similar Machines: The Impact of Human-Machine
  Similarity on Machine-Assisted Decision-Making
Taking Advice from (Dis)Similar Machines: The Impact of Human-Machine Similarity on Machine-Assisted Decision-MakingAAAI Conference on Human Computation & Crowdsourcing (HCOMP), 2022
Nina Grgic-Hlaca
C. Castelluccia
Krishna P. Gummadi
HAI
127
13
0
08 Sep 2022
Improving Expert Predictions with Conformal Prediction
Improving Expert Predictions with Conformal PredictionInternational Conference on Machine Learning (ICML), 2022
Eleni Straitouri
Lequn Wang
William Orchard
Manuel Gomez Rodriguez
217
48
0
28 Jan 2022
Reinforcement Learning Under Algorithmic Triage
Reinforcement Learning Under Algorithmic Triage
Eleni Straitouri
Adish Singla
Vahid Balazadeh Meresht
Manuel Gomez Rodriguez
OffRL
177
21
0
23 Sep 2021
Training Data Subset Selection for Regression with Controlled
  Generalization Error
Training Data Subset Selection for Regression with Controlled Generalization Error
D. Sivasubramanian
Rishabh K. Iyer
Ganesh Ramakrishnan
A. De
82
21
0
23 Jun 2021
Human-AI Collaboration with Bandit Feedback
Human-AI Collaboration with Bandit FeedbackInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
Ruijiang Gao
M. Saar-Tsechansky
Maria De-Arteaga
Ligong Han
Min Kyung Lee
Matthew Lease
255
54
0
22 May 2021
Differentiable Learning Under Triage
Differentiable Learning Under TriageNeural Information Processing Systems (NeurIPS), 2021
William Orchard
A. De
Manuel Gomez Rodriguez
236
78
0
16 Mar 2021
Towards Unbiased and Accurate Deferral to Multiple Experts
Towards Unbiased and Accurate Deferral to Multiple ExpertsAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2021
Vijay Keswani
Matthew Lease
K. Kenthapadi
FaML
114
81
0
25 Feb 2021
Selective Classification Can Magnify Disparities Across Groups
Selective Classification Can Magnify Disparities Across GroupsInternational Conference on Learning Representations (ICLR), 2020
Erik Jones
Shiori Sagawa
Pang Wei Koh
Ananya Kumar
Abigail Z. Jacobs
250
49
0
27 Oct 2020
A Bandit Model for Human-Machine Decision Making with Private
  Information and Opacity
A Bandit Model for Human-Machine Decision Making with Private Information and OpacityInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Sebastian Bordt
U. V. Luxburg
295
8
0
09 Jul 2020
Classification Under Human Assistance
Classification Under Human Assistance
A. De
William Orchard
Ali Zarezade
Manuel Gomez Rodriguez
131
58
0
21 Jun 2020
Consistent Estimators for Learning to Defer to an Expert
Consistent Estimators for Learning to Defer to an ExpertInternational Conference on Machine Learning (ICML), 2020
Hussein Mozannar
David Sontag
300
234
0
02 Jun 2020
Learning to Complement Humans
Learning to Complement HumansInternational Joint Conference on Artificial Intelligence (IJCAI), 2020
Bryan Wilder
Eric Horvitz
Ece Kamar
283
182
0
01 May 2020
Learning to Switch Among Agents in a Team via 2-Layer Markov Decision
  Processes
Learning to Switch Among Agents in a Team via 2-Layer Markov Decision Processes
Vahid Balazadeh Meresht
Abir De
Adish Singla
Manuel Gomez-Rodriguez
149
4
0
11 Feb 2020
Streaming Submodular Maximization under a $k$-Set System Constraint
Streaming Submodular Maximization under a kkk-Set System ConstraintInternational Conference on Machine Learning (ICML), 2020
Ran Haba
Ehsan Kazemi
Moran Feldman
Amin Karbasi
157
40
0
09 Feb 2020
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