Paper

  • Causal discovery with endogenous context variables

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Causal discovery with endogenous context variables

    Andreas Gerhardus, Wiebke Günther, Urmi Ninad, Oana-Iuliana Popescu, Martin Rabel, Jakob Runge p36243-36284 from Advances in Neural Information Processing Systems 37
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  • Causal Effect Identification in a Sub-Population with Latent Variables

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Causal Effect Identification in a Sub-Population with Latent Variables

    Amir Mohammad Abouei, Matthias Grossglauser, Negar Kiyavash, Ehsan Mokhtarian p43836-43863 from Advances in Neural Information Processing Systems 37
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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

    Elias Bareinboim, Xuan Di, Kangrui Ruan, Junzhe Zhang p87592-87620 from Advances in Neural Information Processing Systems 37
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  • Causal Impotence and Cosmic Messaging: A Logical Response to the Barn Door Argument

    International Astronautical Federation (IAF)

    Causal Impotence and Cosmic Messaging: A Logical Response to the Barn Door Argument

    Chelsea Haramia p49-51 from 53rd IAA Symposium on the Search for Extraterrestrial Intelligence (SETI) - The Next Steps
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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 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

    Nishanth Dikkala, Rina Panigrahy, Kulin Shah, Xin Wang p56674-56702 from Advances in Neural Information Processing Systems 37
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  • Causal Models of Cyclogenesis: An Informed Structural Learning Approach for Efficient Data-Driven Inference

    International Astronautical Federation (IAF)

    Causal Models of Cyclogenesis: An Informed Structural Learning Approach for Efficient Data-Driven Inference

    Allegra Farrar p1087-1097 from IAF Earth Observation Symposium
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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

    Guangyi Chen, Xinshuai Dong, Yewen Fan, Zijian Li, Xiangchen Song, Kun Zhang, Yujia Zheng 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

    Patrick Blöbaum, Dominik Janzing, Sergio Mejia, Bernhard Schölkopf 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

    Ruirui Chen, Yuhan Chen, Basura Fernando, Ting En Lam, Paritosh Parmar, Eric Peh, Elston Tan 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

    Keping Bi, Quanrun Chen, Wei Chen, Xueqi Cheng, Jiafeng Guo, Mingkun Zhang p124791-124819 from Advances in Neural Information Processing Systems 37
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  • CausalStock: Deep End-to-end Causal Discovery for News-driven Multi-stock Movement Prediction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CausalStock: Deep End-to-end Causal Discovery for News-driven Multi-stock Movement Prediction

    Xin Gao, Shuqi Li, Yuxin Lin, Shuo Shang, Yuebo Sun, Rui Yan p47432-47454 from Advances in Neural Information Processing Systems 37
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