Search Results - Teng, Jiaye

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  1. 1
    High-resolution probabilistic load forecasting: A learning ensemble approach

    High-resolution probabilistic load forecasting: A learning ensemble approach by Lu, Chenbei, Liang, Jinhao, Jiang, Wenqian, Teng, Jiaye, Wu, Chenye

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  2. 2
    Inject Machine Learning into Significance Test for Misspecified Linear Models

    Inject Machine Learning into Significance Test for Misspecified Linear Models by Teng, Jiaye, Yang, Yuan

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  3. 3
    Lower Generalization Bounds for GD and SGD in Smooth Stochastic Convex Optimization

    Lower Generalization Bounds for GD and SGD in Smooth Stochastic Convex Optimization by Zhang, Peiyuan, Teng, Jiaye, Zhang, Jingzhao

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  4. 4
    Predictive Inference With Fast Feature Conformal Prediction

    Predictive Inference With Fast Feature Conformal Prediction by Tang, Zihao, Wang, Boyuan, Wen, Chuan, Teng, Jiaye

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  5. 5
    Benign Overfitting in Classification: Provably Counter Label Noise with Larger Models

    Benign Overfitting in Classification: Provably Counter Label Noise with Larger Models by Wen, Kaiyue, Teng, Jiaye, Zhang, Jingzhao

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  6. 6
    Anomaly Detection with Test Time Augmentation and Consistency Evaluation

    Anomaly Detection with Test Time Augmentation and Consistency Evaluation by He, Haowei, Teng, Jiaye, Yang, Yuan

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  7. 7
    Towards Understanding Generalization via Decomposing Excess Risk Dynamics

    Towards Understanding Generalization via Decomposing Excess Risk Dynamics by Teng, Jiaye, Ma, Jianhao, Yang, Yuan

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  8. 8
    Towards Data-Algorithm Dependent Generalization: a Case Study on Overparameterized Linear Regression

    Towards Data-Algorithm Dependent Generalization: a Case Study on Overparameterized Linear Regression by Xu, Jing, Teng, Jiaye, Yang, Yuan, Yao, Andrew Chi-Chih

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  9. 9
    Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical Analysis

    Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical Analysis by Teng, Jiaye, Huang, Weiran, He, Haowei

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  10. 10
    T-SCI: A Two-Stage Conformal Inference Algorithm with Guaranteed Coverage for Cox-MLP

    T-SCI: A Two-Stage Conformal Inference Algorithm with Guaranteed Coverage for Cox-MLP by Teng, Jiaye, Zeren Tan, Yang, Yuan

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  11. 11
    On Uni-Modal Feature Learning in Supervised Multi-Modal Learning

    On Uni-Modal Feature Learning in Supervised Multi-Modal Learning by Du, Chenzhuang, Teng, Jiaye, Tingle, Li, Liu, Yichen, Yuan, Tianyuan, Wang, Yue, Yang, Yuan, Zhao, Hang

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  12. 12
    Predictive Inference with Feature Conformal Prediction

    Predictive Inference with Feature Conformal Prediction by Teng, Jiaye, Wen, Chuan, Zhang, Dinghuai, Bengio, Yoshua, Gao, Yang, Yang, Yuan

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  13. 13
    Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming

    Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming by Wen, Chuan, Qian, Jianing, Lin, Jierui, Teng, Jiaye, Jayaraman, Dinesh, Gao, Yang

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  14. 14
    Safety and efficacy of bone marrow mononuclear cell therapy for ischemic stroke recovery: a systematic review and meta-analysis of randomized controlled trials

    Safety and efficacy of bone marrow mononuclear cell therapy for ischemic stroke recovery: a systematic review and meta-analysis of randomized controlled trials by Tang, Yanbing, Wang, Zilan, Teng, Haiying, Ni, Hanyu, Chen, Huiru, Lu, Jiaye, Chen, Zhouqing, Wang, Zhong

    Published in Neurological sciences
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