Fast and flexible estimation of effective migration surfaces von Marcus, Joseph, Ha, Wooseok, Barber, Rina Foygel, Novembre, John

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Estimating the spectrum in computed tomography via Kullback–Leibler divergence constrained optimization von Ha, Wooseok, Sidky, Emil Y., Barber, Rina Foygel, Schmidt, Taly Gilat, Pan, Xiaochuan

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An Equivalence between Critical Points for Rank Constraints Versus Low-Rank Factorizations von Ha, Wooseok, Liu, Haoyang, Barber, Rina Foygel

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Gradient descent with non-convex constraints: local concavity determines convergence von Barber, Rina Foygel, Ha, Wooseok

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Erratum: Estimating the spectrum in computed tomography via Kullback‐Leibler divergence constrained optimization. [Med. Phys. 46(1), p. 81‐92 (2019)] von Ha, Wooseok, Sidky, Emil Y., Foygel Barber, Rina, Gilat Schmidt, Taly, Pan, Xiaochuan

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Development and validation of an artificial intelligence model for the early classification of the aetiology of meningitis and encephalitis: a retrospective observational studyRese... von Bo Kyu Choi, Young Jo Choi, MinDong Sung, WooSeok Ha, Min Kyung Chu, Won-Joo Kim, Kyoung Heo, Kyung Min Kim, Yu Rang Park

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Development and validation of an artificial intelligence model for the early classification of the aetiology of meningitis and encephalitis: a retrospective observational study von Choi, Bo Kyu, Choi, Young Jo, Sung, MinDong, Ha, WooSeok, Chu, Min Kyung, Kim, Won-Joo, Heo, Kyoung, Kim, Kyung Min, Park, Yu Rang

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Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Models von Gautam, Tanmay, Park, Youngsuk, Zhou, Hao, Raman, Parameswaran, Ha, Wooseok

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Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms von Wu, Keru, Chen, Yuansi, Ha, Wooseok, Yu, Bin

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The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning von Ghosh, Nikhil, Frei, Spencer, Ha, Wooseok, Yu, Bin

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Interpreting and improving deep-learning models with reality checks von Singh, Chandan, Ha, Wooseok, Yu, Bin

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Adaptive wavelet distillation from neural networks through interpretations von Ha, Wooseok, Singh, Chandan, Lanusse, Francois, Upadhyayula, Srigokul, Yu, Bin

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Statistical guarantees for local graph clustering von Ha, Wooseok, Fountoulakis, Kimon, Mahoney, Michael W

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Alternating minimization and alternating descent over nonconvex sets von Ha, Wooseok, Barber, Rina Foygel

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An equivalence between critical points for rank constraints versus low-rank factorizations von Ha, Wooseok, Liu, Haoyang, Barber, Rina Foygel

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Gradient descent with nonconvex constraints: local concavity determines convergence von Barber, Rina Foygel, Ha, Wooseok

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Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms von Wu, Keru, Chen, Yuansi, Ha, Wooseok, Yu, Bin

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Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Models von Gautam, Tanmay, Park, Youngsuk, Zhou, Hao, Parameswaran Raman, Ha, Wooseok

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The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning von Ghosh, Nikhil, Frei, Spencer, Ha, Wooseok, Yu, Bin

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Interpreting and improving deep-learning models with reality checks von Singh, Chandan, Ha, Wooseok, Yu, Bin

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