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Poster
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Tue 17:30
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Asymptotics for Sketching in Least Squares Regression
Edgar Dobriban · Sifan Liu
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Poster
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Thu 17:00
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Interaction Hard Thresholding: Consistent Sparse Quadratic Regression in Sub-quadratic Time and Space
Shuo Yang · Yanyao Shen · Sujay Sanghavi
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Poster
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Wed 10:45
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Total Least Squares Regression in Input Sparsity Time
Huaian Diao · Zhao Song · David Woodruff · Xin Yang
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Poster
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Wed 10:45
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Computing Full Conformal Prediction Set with Approximate Homotopy
Eugene Ndiaye · Ichiro Takeuchi
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Poster
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Wed 10:45
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Uncoupled Regression from Pairwise Comparison Data
Ritsugen Jo · Junya Honda · Gang Niu · Masashi Sugiyama
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Poster
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Wed 10:45
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Manifold-regression to predict from MEG/EEG brain signals without source modeling
David Sabbagh · Pierre Ablin · Gael Varoquaux · Alexandre Gramfort · Denis A. Engemann
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Poster
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Tue 17:30
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Multivariate Distributionally Robust Convex Regression under Absolute Error Loss
Jose Blanchet · Peter W Glynn · Jun Yan · Zhengqing Zhou
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Poster
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Wed 10:45
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Partitioning Structure Learning for Segmented Linear Regression Trees
Xiangyu Zheng · Song Xi Chen
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Poster
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Tue 17:30
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Iterative Least Trimmed Squares for Mixed Linear Regression
Yanyao Shen · Sujay Sanghavi
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Poster
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Thu 17:00
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Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing
Zhiqi Bu · Jason Klusowski · Cynthia Rush · Weijie Su
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Poster
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Wed 10:45
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Reliable training and estimation of variance networks
Nicki Skafte · Martin Jørgensen · Søren Hauberg
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Poster
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Tue 10:45
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A Direct tilde{O}(1/epsilon) Iteration Parallel Algorithm for Optimal Transport
Arun Jambulapati · Aaron Sidford · Kevin Tian
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