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Credal Learning Theory

Credal Learning Theory

1 February 2024
Michele Caprio
Maryam Sultana
Eleni Elia
Fabio Cuzzolin
    FedML
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Papers citing "Credal Learning Theory"

21 / 21 papers shown
Title
Partial Transportability for Domain Generalization
Partial Transportability for Domain Generalization
Kasra Jalaldoust
Alexis Bellot
Elias Bareinboim
OOD
110
5
0
30 Mar 2025
Conformal Prediction Regions are Imprecise Highest Density Regions
Conformal Prediction Regions are Imprecise Highest Density Regions
Michele Caprio
Yusuf Sale
Eyke Hüllermeier
148
1
0
10 Feb 2025
CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks
CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks
Kaizheng Wang
Keivan K1 Shariatmadar
Shireen Kudukkil Manchingal
Fabio Cuzzolin
David Moens
Hans Hallez
UQCV
BDL
207
13
0
28 Jan 2025
Conformalized Credal Regions for Classification with Ambiguous Ground Truth
Conformalized Credal Regions for Classification with Ambiguous Ground Truth
Michele Caprio
David Stutz
Shuo Li
Arnaud Doucet
UQCV
165
5
0
07 Nov 2024
On the Robustness of Kernel Goodness-of-Fit Tests
On the Robustness of Kernel Goodness-of-Fit Tests
Xing Liu
F. Briol
OOD
97
5
0
11 Aug 2024
Boosting Continual Learning of Vision-Language Models via
  Mixture-of-Experts Adapters
Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters
Jiazuo Yu
Yunzhi Zhuge
Lu Zhang
Ping Hu
Dong Wang
Huchuan Lu
You He
VLM
KELM
CLL
OODD
144
80
0
18 Mar 2024
Conformalized Credal Set Predictors
Conformalized Credal Set Predictors
Alireza Javanmardi
David Stutz
Eyke Hüllermeier
63
13
0
16 Feb 2024
Continual Self-supervised Learning: Towards Universal Multi-modal
  Medical Data Representation Learning
Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning
Yiwen Ye
Yutong Xie
Jianpeng Zhang
Ziyang Chen
Qi Wu
Yong-quan Xia
CLL
46
17
0
29 Nov 2023
Credal Bayesian Deep Learning
Credal Bayesian Deep Learning
Michele Caprio
Souradeep Dutta
Kuk Jin Jang
Vivian Lin
Radoslav Ivanov
O. Sokolsky
Insup Lee
OOD
BDL
UQCV
70
22
0
19 Feb 2023
Sketching Algorithms and Lower Bounds for Ridge Regression
Sketching Algorithms and Lower Bounds for Ridge Regression
Praneeth Kacham
David P. Woodruff
30
6
0
13 Apr 2022
Dynamic Precise and Imprecise Probability Kinematics
Dynamic Precise and Imprecise Probability Kinematics
Michele Caprio
Ruobin Gong
32
10
0
08 Oct 2021
Towards a Theoretical Framework of Out-of-Distribution Generalization
Towards a Theoretical Framework of Out-of-Distribution Generalization
Haotian Ye
Chuanlong Xie
Tianle Cai
Ruichen Li
Zhenguo Li
Liwei Wang
OODD
OOD
85
111
0
08 Jun 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization
Generalizing to Unseen Domains: A Survey on Domain Generalization
Jindong Wang
Cuiling Lan
Chang-Shu Liu
Yidong Ouyang
Tao Qin
Wang Lu
Yiqiang Chen
Wenjun Zeng
Philip S. Yu
OOD
190
1,218
0
02 Mar 2021
An Online Learning Approach to Interpolation and Extrapolation in Domain
  Generalization
An Online Learning Approach to Interpolation and Extrapolation in Domain Generalization
Elan Rosenfeld
Pradeep Ravikumar
Andrej Risteski
81
35
0
25 Feb 2021
SWAD: Domain Generalization by Seeking Flat Minima
SWAD: Domain Generalization by Seeking Flat Minima
Junbum Cha
Sanghyuk Chun
Kyungjae Lee
Han-Cheol Cho
Seunghyun Park
Yunsung Lee
Sungrae Park
MoMe
275
451
0
17 Feb 2021
WILDS: A Benchmark of in-the-Wild Distribution Shifts
WILDS: A Benchmark of in-the-Wild Distribution Shifts
Pang Wei Koh
Shiori Sagawa
Henrik Marklund
Sang Michael Xie
Marvin Zhang
...
A. Kundaje
Emma Pierson
Sergey Levine
Chelsea Finn
Percy Liang
OOD
170
1,428
0
14 Dec 2020
In Search of Lost Domain Generalization
In Search of Lost Domain Generalization
Ishaan Gulrajani
David Lopez-Paz
OOD
76
1,137
0
02 Jul 2020
Generalizing to unseen domains via distribution matching
Generalizing to unseen domains via distribution matching
Isabela Albuquerque
João Monteiro
Mohammad Javad Darvishi Bayazi
T. Falk
Ioannis Mitliagkas
OOD
65
156
0
03 Nov 2019
A Generalization Error Bound for Multi-class Domain Generalization
A Generalization Error Bound for Multi-class Domain Generalization
A. Deshmukh
Yunwen Lei
Srinagesh Sharma
Ürün Dogan
J. Cutler
Clayton Scott
77
37
0
24 May 2019
Evidential Deep Learning to Quantify Classification Uncertainty
Evidential Deep Learning to Quantify Classification Uncertainty
Murat Sensoy
Lance M. Kaplan
M. Kandemir
OOD
UQCV
EDL
BDL
157
986
0
05 Jun 2018
Domain Generalization via Invariant Feature Representation
Domain Generalization via Invariant Feature Representation
Krikamol Muandet
David Balduzzi
Bernhard Schölkopf
OOD
114
1,173
0
10 Jan 2013
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