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Towards efficient representation identification in supervised learning

Towards efficient representation identification in supervised learning

10 April 2022
Kartik Ahuja
Divyat Mahajan
Vasilis Syrgkanis
Ioannis Mitliagkas
    CoGeOODDRL
ArXiv (abs)PDFHTML

Papers citing "Towards efficient representation identification in supervised learning"

14 / 14 papers shown
Title
Learning Treatment Representations for Downstream Instrumental Variable Regression
Learning Treatment Representations for Downstream Instrumental Variable Regression
Shiangyi Lin
Hui Lan
Vasilis Syrgkanis
CML
28
0
0
02 Jun 2025
Cross-Entropy Is All You Need To Invert the Data Generating Process
Cross-Entropy Is All You Need To Invert the Data Generating Process
Patrik Reizinger
Alice Bizeul
Attila Juhos
Julia E. Vogt
Randall Balestriero
Wieland Brendel
David Klindt
SSLOODBDLDRL
229
6
0
29 Oct 2024
Sparsity regularization via tree-structured environments for
  disentangled representations
Sparsity regularization via tree-structured environments for disentangled representations
Elliot Layne
Jason S. Hartford
Sébastien Lachapelle
Mathieu Blanchette
Dhanya Sridhar
OODCML
46
0
0
30 May 2024
Learning Invariant Causal Mechanism from Vision-Language Models
Learning Invariant Causal Mechanism from Vision-Language Models
Changwen Zheng
Siyu Zhao
Xingyu Zhang
Jiangmeng Li
Changwen Zheng
Jingyao Wang
CMLBDLVLM
123
0
0
24 May 2024
Identifying Representations for Intervention Extrapolation
Identifying Representations for Intervention Extrapolation
Sorawit Saengkyongam
Ezgi Ozyilkan
Pradeep Ravikumar
Niklas Pfister
Jonas Peters
CMLOOD
84
16
0
06 Oct 2023
Inducing Causal Structure for Abstractive Text Summarization
Inducing Causal Structure for Abstractive Text Summarization
Luyao Chen
Ruqing Zhang
Wei Huang
Wei Chen
Jiafeng Guo
Xueqi Cheng
CML
61
1
0
24 Aug 2023
On the Identifiability of Quantized Factors
On the Identifiability of Quantized Factors
Vitória Barin Pacela
Kartik Ahuja
Simon Lacoste-Julien
Pascal Vincent
OODCML
71
1
0
28 Jun 2023
Nonparametric Identifiability of Causal Representations from Unknown
  Interventions
Nonparametric Identifiability of Causal Representations from Unknown Interventions
Julius von Kügelgen
M. Besserve
Wendong Liang
Luigi Gresele
Armin Kekić
Elias Bareinboim
David M. Blei
Bernhard Schölkopf
CML
173
65
0
01 Jun 2023
Neuro-Symbolic Reasoning Shortcuts: Mitigation Strategies and their
  Limitations
Neuro-Symbolic Reasoning Shortcuts: Mitigation Strategies and their Limitations
Emanuele Marconato
Stefano Teso
Andrea Passerini
NAI
55
8
0
22 Mar 2023
Score-based Causal Representation Learning with Interventions
Score-based Causal Representation Learning with Interventions
Burak Varici
Emre Acartürk
Karthikeyan Shanmugam
Abhishek Kumar
A. Tajer
CML
111
39
0
19 Jan 2023
Synergies between Disentanglement and Sparsity: Generalization and
  Identifiability in Multi-Task Learning
Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning
Sébastien Lachapelle
T. Deleu
Divyat Mahajan
Ioannis Mitliagkas
Yoshua Bengio
Simon Lacoste-Julien
Quentin Bertrand
78
34
0
26 Nov 2022
Learning Latent Structural Causal Models
Learning Latent Structural Causal Models
Jithendaraa Subramanian
Yashas Annadani
Ivaxi Sheth
Nan Rosemary Ke
T. Deleu
Stefan Bauer
Derek Nowrouzezahrai
Samira Ebrahimi Kahou
CML
94
7
0
24 Oct 2022
Interventional Causal Representation Learning
Interventional Causal Representation Learning
Kartik Ahuja
Divyat Mahajan
Yixin Wang
Yoshua Bengio
CML
156
95
0
24 Sep 2022
Weakly Supervised Disentanglement with Guarantees
Weakly Supervised Disentanglement with Guarantees
Rui Shu
Yining Chen
Abhishek Kumar
Stefano Ermon
Ben Poole
CoGeDRL
132
139
0
22 Oct 2019
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