ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2206.01067
  4. Cited By
Practical Adversarial Multivalid Conformal Prediction

Practical Adversarial Multivalid Conformal Prediction

2 June 2022
Osbert Bastani
Varun Gupta
Christopher Jung
Georgy Noarov
Ramya Ramalingam
Aaron Roth
ArXiv (abs)PDFHTML

Papers citing "Practical Adversarial Multivalid Conformal Prediction"

43 / 43 papers shown
Title
In Defense of Defensive Forecasting
In Defense of Defensive Forecasting
Juan Carlos Perdomo
Benjamin Recht
7
0
0
13 Jun 2025
Improved Bounds for Swap Multicalibration and Swap Omniprediction
Improved Bounds for Swap Multicalibration and Swap Omniprediction
Haipeng Luo
Spandan Senapati
Vatsal Sharan
34
0
0
27 May 2025
A Generic Framework for Conformal Fairness
A Generic Framework for Conformal Fairness
Aditya T. Vadlamani
Anutam Srinivasan
Pranav Maneriker
Ali Payani
Srinivasan Parthasarathy
FaMLFedML
430
2
0
22 May 2025
Feature Fitted Online Conformal Prediction for Deep Time Series Forecasting Model
Feature Fitted Online Conformal Prediction for Deep Time Series Forecasting Model
Xiannan Huang
Shuhan Qiu
AI4TS
99
0
0
13 May 2025
Multi-Robot Coordination with Adversarial Perception
Multi-Robot Coordination with Adversarial Perception
Rayan Bahrami
H. Jafarnejadsani
AAML
221
0
0
12 Apr 2025
Dual-Splitting Conformal Prediction for Multi-Step Time Series Forecasting
Dual-Splitting Conformal Prediction for Multi-Step Time Series Forecasting
Qingdi Yu
Zhiwei Cao
R. Wang
Zhen Yang
Lijun Deng
Min Hu
Yong Luo
Xin Zhou
AI4TS
130
0
0
27 Mar 2025
Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents
Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents
Shayan Kiyani
George Pappas
Aaron Roth
Hamed Hassani
314
4
0
04 Feb 2025
Conformal Prediction: A Data Perspective
Conformal Prediction: A Data Perspective
Xiaofan Zhou
Baiting Chen
Yu Gui
Lu Cheng
999
5
0
09 Oct 2024
The Benefit of Being Bayesian in Online Conformal Prediction
The Benefit of Being Bayesian in Online Conformal Prediction
Zhiyu Zhang
Zhou Lu
Heng Yang
173
3
0
03 Oct 2024
Calibrated Probabilistic Forecasts for Arbitrary Sequences
Calibrated Probabilistic Forecasts for Arbitrary Sequences
Charles Marx
Volodymyr Kuleshov
Stefano Ermon
AI4TS
67
1
0
27 Sep 2024
Split Conformal Prediction under Data Contamination
Split Conformal Prediction under Data Contamination
Jase Clarkson
Wenkai Xu
Mihai Cucuringu
Gesine Reinert
128
3
0
10 Jul 2024
Automatically Adaptive Conformal Risk Control
Automatically Adaptive Conformal Risk Control
Vincent Blot
Anastasios Nikolas Angelopoulos
Michael I Jordan
Nicolas Brunel
AI4CE
434
3
0
25 Jun 2024
When is Multicalibration Post-Processing Necessary?
When is Multicalibration Post-Processing Necessary?
Dutch Hansen
Siddartha Devic
Preetum Nakkiran
Vatsal Sharan
88
8
0
10 Jun 2024
Adapting Prediction Sets to Distribution Shifts Without Labels
Adapting Prediction Sets to Distribution Shifts Without Labels
Kevin Kasa
Zhiyu Zhang
Heng Yang
Graham W. Taylor
117
2
0
03 Jun 2024
Stochastic Online Conformal Prediction with Semi-Bandit Feedback
Stochastic Online Conformal Prediction with Semi-Bandit Feedback
Haosen Ge
Hamsa Bastani
Osbert Bastani
220
2
0
22 May 2024
Human-AI Safety: A Descendant of Generative AI and Control Systems
  Safety
Human-AI Safety: A Descendant of Generative AI and Control Systems Safety
Andrea V. Bajcsy
J. F. Fisac
56
7
0
16 May 2024
Localized Adaptive Risk Control
Localized Adaptive Risk Control
Matteo Zecchin
Osvaldo Simeone
104
10
0
13 May 2024
Fair Risk Control: A Generalized Framework for Calibrating Multi-group
  Fairness Risks
Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks
Lujing Zhang
Aaron Roth
Linjun Zhang
FaML
175
9
0
03 May 2024
Provably Robust Conformal Prediction with Improved Efficiency
Provably Robust Conformal Prediction with Improved Efficiency
Ge Yan
Yaniv Romano
Tsui-Wei Weng
95
16
0
30 Apr 2024
Multicalibration for Confidence Scoring in LLMs
Multicalibration for Confidence Scoring in LLMs
Gianluca Detommaso
Martín Bertrán
Riccardo Fogliato
Aaron Roth
112
19
0
06 Apr 2024
Stability and Multigroup Fairness in Ranking with Uncertain Predictions
Stability and Multigroup Fairness in Ranking with Uncertain Predictions
Siddartha Devic
Aleksandra Korolova
David Kempe
Vatsal Sharan
92
6
0
14 Feb 2024
On Computationally Efficient Multi-Class Calibration
On Computationally Efficient Multi-Class Calibration
Parikshit Gopalan
Lunjia Hu
G. Rothblum
34
6
0
12 Feb 2024
Discounted Adaptive Online Learning: Towards Better Regularization
Discounted Adaptive Online Learning: Towards Better Regularization
Zhiyu Zhang
David Bombara
Heng Yang
64
9
0
05 Feb 2024
Online conformal prediction with decaying step sizes
Online conformal prediction with decaying step sizes
Anastasios Nikolas Angelopoulos
Rina Foygel Barber
Stephen Bates
225
27
0
02 Feb 2024
Equal Opportunity of Coverage in Fair Regression
Equal Opportunity of Coverage in Fair Regression
Fangxin Wang
Lu Cheng
Ruocheng Guo
Kay Liu
Philip S. Yu
216
16
0
03 Nov 2023
Conformal Policy Learning for Sensorimotor Control Under Distribution
  Shifts
Conformal Policy Learning for Sensorimotor Control Under Distribution Shifts
Huang Huang
Satvik Sharma
Antonio Loquercio
Anastasios Nikolas Angelopoulos
Kenneth Y. Goldberg
Jitendra Malik
106
6
0
02 Nov 2023
Conformal Decision Theory: Safe Autonomous Decisions from Imperfect
  Predictions
Conformal Decision Theory: Safe Autonomous Decisions from Imperfect Predictions
Jordan Lekeufack
Anastasios Nikolas Angelopoulos
Andrea V. Bajcsy
Michael I. Jordan
Jitendra Malik
OffRL
218
32
0
09 Oct 2023
Conformal PID Control for Time Series Prediction
Conformal PID Control for Time Series Prediction
Anastasios Nikolas Angelopoulos
Emmanuel J. Candes
Robert Tibshirani
AI4TS
227
66
0
31 Jul 2023
Oracle Efficient Online Multicalibration and Omniprediction
Oracle Efficient Online Multicalibration and Omniprediction
Sumegha Garg
Christopher Jung
Omer Reingold
Aaron Roth
42
23
0
18 Jul 2023
Scalable Membership Inference Attacks via Quantile Regression
Scalable Membership Inference Attacks via Quantile Regression
Martín Bertrán
Shuai Tang
Michael Kearns
Jamie Morgenstern
Aaron Roth
Zhiwei Steven Wu
MIACV
80
51
0
07 Jul 2023
Beyond Confidence: Reliable Models Should Also Consider Atypicality
Beyond Confidence: Reliable Models Should Also Consider Atypicality
Mert Yuksekgonul
Linjun Zhang
James Zou
Carlos Guestrin
93
22
0
29 May 2023
HappyMap: A Generalized Multi-calibration Method
HappyMap: A Generalized Multi-calibration Method
Zhun Deng
Cynthia Dwork
Linjun Zhang
228
19
0
08 Mar 2023
A Unifying Perspective on Multi-Calibration: Game Dynamics for
  Multi-Objective Learning
A Unifying Perspective on Multi-Calibration: Game Dynamics for Multi-Objective Learning
Nika Haghtalab
Michael I. Jordan
Eric Zhao
102
12
0
21 Feb 2023
The Scope of Multicalibration: Characterizing Multicalibration via
  Property Elicitation
The Scope of Multicalibration: Characterizing Multicalibration via Property Elicitation
Georgy Noarov
Aaron Roth
63
4
0
16 Feb 2023
Adaptive Conformal Prediction for Motion Planning among Dynamic Agents
Adaptive Conformal Prediction for Motion Planning among Dynamic Agents
Anushri Dixit
Lars Lindemann
Skylar X. Wei
Matthew Cleaveland
George J. Pappas
J. W. Burdick
202
64
0
01 Dec 2022
Distribution Free Prediction Sets for Node Classification
Distribution Free Prediction Sets for Node Classification
J. Clarkson
AI4CE
113
25
0
26 Nov 2022
ACon$^2$: Adaptive Conformal Consensus for Provable Blockchain Oracles
ACon2^22: Adaptive Conformal Consensus for Provable Blockchain Oracles
Sangdon Park
Osbert Bastani
Taesoo Kim
64
9
0
17 Nov 2022
Batch Multivalid Conformal Prediction
Batch Multivalid Conformal Prediction
Christopher Jung
Georgy Noarov
Ramya Ramalingam
Aaron Roth
253
53
0
30 Sep 2022
Conformal Methods for Quantifying Uncertainty in Spatiotemporal Data: A
  Survey
Conformal Methods for Quantifying Uncertainty in Spatiotemporal Data: A Survey
S. Sun
AI4CE
121
11
0
08 Sep 2022
Reconciling Individual Probability Forecasts
Reconciling Individual Probability Forecasts
Aaron Roth
A. Tolbert
S. Weinstein
64
14
0
04 Sep 2022
Conformal Inference for Online Prediction with Arbitrary Distribution
  Shifts
Conformal Inference for Online Prediction with Arbitrary Distribution Shifts
Isaac Gibbs
Emmanuel Candès
202
91
0
17 Aug 2022
Context matters for fairness -- a case study on the effect of spatial
  distribution shifts
Context matters for fairness -- a case study on the effect of spatial distribution shifts
Siamak Ghodsi
Harith Alani
Eirini Ntoutsi
48
2
0
23 Jun 2022
A Gentle Introduction to Conformal Prediction and Distribution-Free
  Uncertainty Quantification
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification
Anastasios Nikolas Angelopoulos
Stephen Bates
OOD
231
625
0
15 Jul 2021
1