Paper

  • Causal Identification Under Markov Equivalence: Calculus, Algorithm, and Completeness

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Causal Identification Under Markov Equivalence: Calculus, Algorithm, and Completeness

    Amin Jaber, Adele Ribeiro, Jiji Zhang, Elias Bareinboim p3679-3690 from Advances in Neural Information Processing Systems 35
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  • Causal Imitability Under Context-Specific Independence Relations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Causal Imitability Under Context-Specific Independence Relations

    Fateme Jamshidi, Sina Akbari, Negar Kiyavash p26810-26830 from Advances in Neural Information Processing Systems 36
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  • Causal Imitation for Markov Decision Processes: a Partial Identification Approach

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Causal Imitation for Markov Decision Processes: a Partial Identification Approach

    Kangrui Ruan, Junzhe Zhang, Xuan Di, Elias Bareinboim p87592-87620 from Advances in Neural Information Processing Systems 37
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  • Causal Inference in the Closed-Loop: Marginal Structural Models for Sequential Excursion Effects

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Causal Inference in the Closed-Loop: Marginal Structural Models for Sequential Excursion Effects

    Alexander Levis, Gabriel Loewinger, Francisco Pereira p109123-109151 from Advances in Neural Information Processing Systems 37
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  • Causal Inference with Non-IID Data Using Linear Graphical Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Causal Inference with Non-IID Data Using Linear Graphical Models

    Chi Zhang, Karthika Mohan, Judea Pearl p13214-13225 from Advances in Neural Information Processing Systems 35
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  • Causal Interpretation of Self-Attention in Pre-Trained Transformers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Causal Interpretation of Self-Attention in Pre-Trained Transformers

    Raanan Rohekar, Yaniv Gurwicz, Shami Nisimov p31450-31465 from Advances in Neural Information Processing Systems 36
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  • Causal language modeling can elicit search and reasoning capabilities on logic puzzles

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Causal language modeling can elicit search and reasoning capabilities on logic puzzles

    Kulin Shah, Nishanth Dikkala, Xin Wang, Rina Panigrahy p56674-56702 from Advances in Neural Information Processing Systems 37
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  • Causal normalizing flows: from theory to practice

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Causal normalizing flows: from theory to practice

    Adrián Javaloy, Pablo Sanchez-Martin, Isabel Valera p58833-58864 from Advances in Neural Information Processing Systems 36
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  • Causal Temporal Representation Learning with Nonstationary Sparse Transition

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Causal Temporal Representation Learning with Nonstationary Sparse Transition

    Xiangchen Song, Zijian Li, Guangyi Chen, Yujia Zheng, Yewen Fan, Xinshuai Dong, Kun Zhang p77098-77131 from Advances in Neural Information Processing Systems 37
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  • Causal vs. Anticausal merging of predictors

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Causal vs. Anticausal merging of predictors

    Sergio Mejia, Patrick Blöbaum, Bernhard Schölkopf, Dominik Janzing p1402-1427 from Advances in Neural Information Processing Systems 37
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  • CausalChaos! Dataset for Comprehensive Causal Action Question Answering Over Longer Causal Chains Grounded in Dynamic Visual Scenes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CausalChaos! Dataset for Comprehensive Causal Action Question Answering Over Longer Causal Chains Grounded in Dynamic Visual Scenes

    Paritosh Parmar, Eric Peh, Ruirui Chen, Ting En Lam, Yuhan Chen, Elston Tan, Basura Fernando p92769-92802 from Advances in Neural Information Processing Systems 37
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  • CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense

    Mingkun Zhang, Keping Bi, Wei Chen, Quanrun Chen, Jiafeng Guo, Xueqi Cheng p124791-124819 from Advances in Neural Information Processing Systems 37
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