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Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification.

, , , и . NeurIPS, стр. 10971-10984. (2021)

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Dai-Hai Chung

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Hong-Yul Chung

 

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Parity calibration., , и . UAI, том 216 из Proceedings of Machine Learning Research, стр. 413-423. PMLR, (2023)Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification., , , и . CoRR, (2020)Full Shot Predictions for the DIII-D Tokamak via Deep Recurrent Networks., , , , и . CoRR, (2024)MUDD: A New Re-Identification Dataset with Efficient Annotation for Off-Road Racers in Extreme Conditions., , , и . CoRR, (2023)Reading Between the Mud: A Challenging Motorcycle Racer Number Dataset., , , и . CoRR, (2023)Offline Model-Based Reinforcement Learning for Tokamak Control., , , , , , , , , и 1 other автор(ы). L4DC, том 211 из Proceedings of Machine Learning Research, стр. 1357-1372. PMLR, (2023)Neural Dynamical Systems: Balancing Structure and Flexibility in Physical Prediction., , , , , , , и . CDC, стр. 3735-3742. IEEE, (2021)Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification., , , и . NeurIPS, стр. 10971-10984. (2021)Offline Contextual Bayesian Optimization., , , , , , и . NeurIPS, стр. 4629-4640. (2019)What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions., , , , , , , , , и 4 other автор(ы). CoRR, (2024)