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Conformal Prediction with Temporal Quantile Adjustments

Conformal Prediction with Temporal Quantile Adjustments

20 May 2022
Zhen Lin
Shubhendu Trivedi
Jimeng Sun
    AI4TS
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Papers citing "Conformal Prediction with Temporal Quantile Adjustments"

10 / 10 papers shown
Title
Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation
Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation
Rahul Vishwakarma
Shrey Dharmendra Modi
Vishwanath Seshagiri
73
0
0
23 Apr 2025
Conformal Prediction: A Data Perspective
Conformal Prediction: A Data Perspective
Xiaofan Zhou
Baiting Chen
Yu Gui
Lu Cheng
88
3
0
09 Oct 2024
Sparse Deep Learning for Time Series Data: Theory and Applications
Sparse Deep Learning for Time Series Data: Theory and Applications
Mingxuan Zhang
Y. Sun
Faming Liang
AI4TS
OOD
BDL
39
2
0
05 Oct 2023
Calibrating AI Models for Wireless Communications via Conformal
  Prediction
Calibrating AI Models for Wireless Communications via Conformal Prediction
K. Cohen
Sangwoo Park
Osvaldo Simeone
S. Shamai
32
6
0
15 Dec 2022
Conformal Inference for Online Prediction with Arbitrary Distribution
  Shifts
Conformal Inference for Online Prediction with Arbitrary Distribution Shifts
Isaac Gibbs
Emmanuel Candès
33
84
0
17 Aug 2022
Few-shot Conformal Prediction with Auxiliary Tasks
Few-shot Conformal Prediction with Auxiliary Tasks
Adam Fisch
Tal Schuster
Tommi Jaakkola
Regina Barzilay
181
53
0
17 Feb 2021
DEUP: Direct Epistemic Uncertainty Prediction
DEUP: Direct Epistemic Uncertainty Prediction
Salem Lahlou
Moksh Jain
Hadi Nekoei
V. Butoi
Paul Bertin
Jarrid Rector-Brooks
Maksym Korablyov
Yoshua Bengio
PER
UQLM
UQCV
UD
202
81
0
16 Feb 2021
Distribution-Free, Risk-Controlling Prediction Sets
Distribution-Free, Risk-Controlling Prediction Sets
Stephen Bates
Anastasios Nikolas Angelopoulos
Lihua Lei
Jitendra Malik
Michael I. Jordan
OOD
181
186
0
07 Jan 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,661
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
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