Paper

  • 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

    Karthika Mohan, Judea Pearl, Chi Zhang 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

    Yaniv Gurwicz, Shami Nisimov, Raanan Rohekar 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

    Nishanth Dikkala, Rina Panigrahy, Kulin Shah, Xin Wang 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

    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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  • Causality Preserving Chaotic Transformation and Classification Using Neurochaos Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Causality Preserving Chaotic Transformation and Classification Using Neurochaos Learning

    Aditi Kathpalia, Nithin Nagaraj, Harikrishnan N B p2046-2058 from Advances in Neural Information Processing Systems 35
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  • Causality-Driven Hierarchical Structure Discovery for Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Causality-Driven Hierarchical Structure Discovery for Reinforcement Learning

    Ruizhi Chen, Yunji Chen, Zidong Du, Jiaming Guo, Qi Guo, Xing Hu, Ling Li, Shaohui Peng, Ke Tang, Qi Yi, Xishan Zhang, Rui Zhang p20064-20076 from Advances in Neural Information Processing Systems 35
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  • Causally Motivated Multi-Shortcut Identification and Removal

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Causally Motivated Multi-Shortcut Identification and Removal

    Maggie Makar, Jiayun Zheng p12800-12812 from Advances in Neural Information Processing Systems 35
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