Paper

  • Estimating Causal Effects Identifiable from a Combination of Observations and Experiments

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Estimating Causal Effects Identifiable from a Combination of Observations and Experiments

    Yonghan Jung, Ivan Diaz, Jin Tian, Elias Bareinboim p46446-46490 from Advances in Neural Information Processing Systems 36
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  • Estimating Ego-Body Pose from Doubly Sparse Egocentric Video Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Estimating Ego-Body Pose from Doubly Sparse Egocentric Video Data

    Seunggeun Chi, Pin-Hao Huang, Enna Sachdeva, Hengbo Ma, Karthik Ramani, Kwonjoon Lee p55178-55203 from Advances in Neural Information Processing Systems 37
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  • Estimating Epistemic and Aleatoric Uncertainty with a Single Model

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Estimating Epistemic and Aleatoric Uncertainty with a Single Model

    Matthew Chan, Maria Molina, Christopher Metzler p109845-109870 from Advances in Neural Information Processing Systems 37
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  • Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression

    Kai Tan, Pierre Bellec p48309-48346 from Advances in Neural Information Processing Systems 37
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  • Estimating Generic 3D Room Structures from 2D Annotations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Estimating Generic 3D Room Structures from 2D Annotations

    Denys Rozumnyi, Stefan Popov, Kevis-Kokitsi Maninis, Matthias Niessner, Vittorio Ferrari p37786-37798 from Advances in Neural Information Processing Systems 36
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  • Estimating Graphical Models for Count Data with Applications to Single-Cell Gene Network

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Estimating Graphical Models for Count Data with Applications to Single-Cell Gene Network

    Feiyi Xiao, Junjie Tang, Huaying Fang, Ruibin Xi p29038-29050 from Advances in Neural Information Processing Systems 35
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  • Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data

    Miruna Oprescu, Nathan Kallus p118777-118806 from Advances in Neural Information Processing Systems 37
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  • Estimating Koopman operators with sketching to provably learn large scale dynamical systems

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Estimating Koopman operators with sketching to provably learn large scale dynamical systems

    Giacomo Meanti, Antoine Chatalic, Vladimir Kostic, Pietro Novelli, Massimiliano Pontil, Lorenzo Rosasco p77242-77276 from Advances in Neural Information Processing Systems 36
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  • Estimating Noise Correlations Across Continuous Conditions With Wishart Processes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Estimating Noise Correlations Across Continuous Conditions With Wishart Processes

    Amin Nejatbakhsh, Isabel Garon, Alex Williams p54032-54045 from Advances in Neural Information Processing Systems 36
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  • Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning

    Shikun Li, Xiaobo Xia, Hansong Zhang, Yibing Zhan, Shiming Ge, Tongliang Liu p24184-24198 from Advances in Neural Information Processing Systems 35
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  • Estimating Propensity for Causality-based Recommendation without Exposure Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Estimating Propensity for Causality-based Recommendation without Exposure Data

    Zhongzhou Liu, Yuan Fang, Min Wu p51688-51705 from Advances in Neural Information Processing Systems 36
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  • Estimating Riemannian Metric with Noise-Contaminated Intrinsic Distance

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Estimating Riemannian Metric with Noise-Contaminated Intrinsic Distance

    Jiaming Qiu, Xiongtao Dai p73983-73994 from Advances in Neural Information Processing Systems 36
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