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Variance-reduced zeroth-order methods for fine-tuning language models. Tanmay Gautam, Youngsuk Park, Hao Zhou, Parameswaran Raman, and Wooseok Ha. Accepted at the 41st International Conference on Machine Learning (ICML 2024). arXiv:2404.08080.
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Prominent roles of conditionally invariant components in domain adaptation: theory and algorithms. (Reproducible Code.) Keru Wu*, Yuansi Chen*, Wooseok Ha*, Bin Yu. arXiv:2309.10301. Accepted at Journal of Machine Learning Research after minor revision.
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The effect of SGD batch size on autoencoder learning: sparsity, sharpness, and feature learning. Nikhil Ghosh, Spencer Frei, Wooseok Ha, Bin Yu. arXiv:2308.03215. Accepted at Journal of Machine Learning Research.
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Gradient dynamics of single-neuron autoencoders on orthogonal data. Nikhil Ghosh, Spencer Frei, Wooseok Ha, Bin Yu. OPT 2022: Optimization for Machine Learning (NeurIPS 2022 Workshop).
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Interpreting and improving deep-learning models with reality checks. Chandan Singh*, Wooseok Ha*, Bin Yu. International Workshop on Extending Explainable AI Beyond Deep Models and Classifiers. arXiv:2108.06847
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Adaptive wavelet distillation from neural networks through interpretations. (Package.) Wooseok Ha, Chandan Singh, Francois Lanusse, Srigokul Upadhyayula, Bin Yu. 34th Annual Conference on Neural Information Processing Systems (Neurips 2021). arXiv:2107.09145
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Fast and flexible estimation of effective migration surfaces. (Package., Reproducible Code.) Joseph H. Marcus*, Wooseok Ha*, Rina Foygel Barber, John Novembre. eLife. bioRXiv:2020.08.07.242214
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Transformation importance with applications to cosmology. Chandan Singh*, Wooseok Ha*, Francois Lanusse, Vanessa Boehm, Jia Liu, Bin Yu. ICLR 2020 Workshop on Fundamental Science in the era of AI (Spotlight talk). arXiv:2003.01926
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Statistical guarantees for local graph clustering. Wooseok Ha*, Kimon Fountoulakis*, Michael, W. Mahoney. 23rd International Conference on Artificial Intelligence and Statistics (AISTATS 2020). Journal version Journal of Machine Learning Research. arXiv:1906.04863
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An equivalence between critical points for rank constraints versus low-rank factorizations. Wooseok Ha, Haoyang Liu, and Rina Foygel Barber. SIAM Journal on Optimization. arXiv:1812.00404
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Alternating minimization based framework for simultaneous spectral calibration and image reconstruction in spectral CT. Wooseok Ha, Emil Y Sidky, Rina Foygel Barber, Taly Gilat Schmidt, and Xiaochuan pan. 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference.
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Estimating the spectrum in computed tomography via Kullback-Leibler divergence constrained optimization.
Wooseok Ha, Emil Y Sidky, Rina Foygel Barber, Taly Gilat Schmidt, and Xiaochuan pan. Medical Physics. arXiv:1805.00162. Selected as Editor’s Pick designation
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Alternating minimization and alternating descent over nonconvex sets. (Code.)
Wooseok Ha and Rina Foygel Barber. arXiv:1709.04451
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Gradient descent with nonconvex constraints: local concavity determines convergence. (Code.)
Rina Foygel Barber and Wooseok Ha. Information and Inference. arXiv:1703.07755
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X-ray spectral calibration from transmission measurements using Gaussian blur model.
Wooseok Ha, Emil Y Sidky and Rina Foygel Barber. Proceedings of the SPIE conference on Medical Imaging 2017: Physics of Medical Imaging.
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Trimmed conformal prediction for high-dimensional models.
Wenyu Chen, Zhaokai Wang, Wooseok Ha, Rina Foygel Barber. arXiv:1611.09933
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Robust PCA with compressed data.
Wooseok Ha and Rina Foygel Barber. 28th Annual Conference on Neural Information Processing Systems (NIPS 2015).