Towards efficient representation identification in supervised learning

Towards efficient representation identification in supervised learning

10 April 2022

Vasilis Syrgkanis

Ioannis Mitliagkas

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Papers citing "Towards efficient representation identification in supervised learning"

14 / 14 papers shown

Title
Learning Treatment Representations for Downstream Instrumental Variable Regression Shiangyi Lin Hui Lan Vasilis Syrgkanis CML 26 0 0 02 Jun 2025
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 SSL OOD BDL DRL 229 6 0 29 Oct 2024
Sparsity regularization via tree-structured environments for disentangled representations Elliot Layne Jason S. Hartford Sébastien Lachapelle Mathieu Blanchette Dhanya Sridhar OOD CML 46 0 0 30 May 2024
Learning Invariant Causal Mechanism from Vision-Language Models Changwen Zheng Siyu Zhao Xingyu Zhang Jiangmeng Li Changwen Zheng Jingyao Wang CML BDL VLM 123 0 0 24 May 2024
Identifying Representations for Intervention Extrapolation Sorawit Saengkyongam Ezgi Ozyilkan Pradeep Ravikumar Niklas Pfister Jonas Peters CML OOD 84 16 0 06 Oct 2023
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 Vitória Barin Pacela Kartik Ahuja Simon Lacoste-Julien Pascal Vincent OOD CML 71 1 0 28 Jun 2023
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 Emanuele Marconato Stefano Teso Andrea Passerini NAI 55 8 0 22 Mar 2023
Score-based Causal Representation Learning with Interventions Burak Varici Emre Acartürk Karthikeyan Shanmugam Abhishek Kumar A. Tajer CML 109 39 0 19 Jan 2023
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 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 Kartik Ahuja Divyat Mahajan Yixin Wang Yoshua Bengio CML 156 95 0 24 Sep 2022
Weakly Supervised Disentanglement with Guarantees Rui Shu Yining Chen Abhishek Kumar Stefano Ermon Ben Poole CoGe DRL 132 139 0 22 Oct 2019