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2102.06202
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Private Prediction Sets
11 February 2021
Anastasios Nikolas Angelopoulos
Stephen Bates
Tijana Zrnic
Sai Li
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Papers citing
"Private Prediction Sets"
12 / 12 papers shown
Extending Prediction-Powered Inference through Conformal Prediction
Daniel Csillag
Pedro DallÁntonia
C. Struchiner
G. Goedert
184
1
0
17 Oct 2025
Privacy-Preserving Conformal Prediction Under Local Differential Privacy
International Symposium on Conformal and Probabilistic Prediction with Applications (ISCPPA), 2025
Coby Penso
Bar Mahpud
Jacob Goldberger
Or Sheffet
422
4
0
21 May 2025
Federated Inference with Reliable Uncertainty Quantification over Wireless Channels via Conformal Prediction
IEEE Transactions on Signal Processing (IEEE TSP), 2023
Meiyi Zhu
Matteo Zecchin
Sangwoo Park
Caili Guo
Chunyan Feng
Osvaldo Simeone
FedML
372
17
0
08 Aug 2023
Conformal Prediction for Federated Uncertainty Quantification Under Label Shift
International Conference on Machine Learning (ICML), 2023
Vincent Plassier
Mehdi Makni
Aleksandr Rubashevskii
Eric Moulines
Maxim Panov
FedML
351
27
0
08 Jun 2023
One-Shot Federated Conformal Prediction
International Conference on Machine Learning (ICML), 2023
Pierre Humbert
B. L. Bars
A. Bellet
Sylvain Arlot
FedML
304
28
0
13 Feb 2023
Distribution-Free Finite-Sample Guarantees and Split Conformal Prediction
Roel Hulsman
269
6
0
26 Oct 2022
A Closer Look at the Calibration of Differentially Private Learners
Hanlin Zhang
Xuechen Li
Prithviraj Sen
Salim Roukos
Tatsunori Hashimoto
286
6
0
15 Oct 2022
Semantic uncertainty intervals for disentangled latent spaces
Neural Information Processing Systems (NeurIPS), 2022
S. Sankaranarayanan
Anastasios Nikolas Angelopoulos
Stephen Bates
Yaniv Romano
Phillip Isola
UQCV
377
26
0
20 Jul 2022
Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction Sets
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Charles Lu
Anastasios Nikolas Angelopoulos
S. Pomerantz
242
47
0
05 Jul 2022
Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging
International Conference on Machine Learning (ICML), 2022
Anastasios Nikolas Angelopoulos
Amit Kohli
Stephen Bates
Sai Li
Jitendra Malik
Thayer Alshaabi
Srigokul Upadhyayula
Yaniv Romano
UQCV
OOD
243
111
0
10 Feb 2022
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control
Anastasios Nikolas Angelopoulos
Stephen Bates
Emmanuel J. Candès
Sai Li
Lihua Lei
828
181
0
03 Oct 2021
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification
Anastasios Nikolas Angelopoulos
Stephen Bates
OOD
1.6K
953
0
15 Jul 2021
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