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47 Results
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Poster
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Tue 18:30 |
Universal consistency and minimax rates for online Mondrian Forests Jaouad Mourtada · Stéphane Gaïffas · Erwan Scornet |
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Poster
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Wed 18:30 |
Multiresolution Kernel Approximation for Gaussian Process Regression Yi Ding · Risi Kondor · Jonathan Eskreis-Winkler |
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Poster
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Tue 18:30 |
Near Optimal Sketching of Low-Rank Tensor Regression Xingguo Li · Jarvis Haupt · David Woodruff |
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Poster
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Tue 18:30 |
Unbiased estimates for linear regression via volume sampling Michal Derezinski · Manfred K. Warmuth |
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Poster
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Wed 18:30 |
Learning Causal Structures Using Regression Invariance AmirEmad Ghassami · Saber Salehkaleybar · Negar Kiyavash · Kun Zhang |
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Poster
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Mon 18:30 |
Deep Lattice Networks and Partial Monotonic Functions Seungil You · David Ding · Kevin Canini · Jan Pfeifer · Maya Gupta |
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Poster
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Mon 18:30 |
Multi-way Interacting Regression via Factorization Machines Mikhail Yurochkin · XuanLong Nguyen · nikolaos Vasiloglou |
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Poster
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Wed 18:30 |
Accuracy First: Selecting a Differential Privacy Level for Accuracy Constrained ERM Katrina Ligett · Seth Neel · Aaron Roth · Bo Waggoner · Steven Wu |
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Poster
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Mon 18:30 |
On Quadratic Convergence of DC Proximal Newton Algorithm in Nonconvex Sparse Learning Xingguo Li · Lin Yang · Jason Ge · Jarvis Haupt · Tong Zhang · Tuo Zhao |
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Poster
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Mon 18:30 |
Generative Local Metric Learning for Kernel Regression Yung-Kyun Noh · Masashi Sugiyama · Kee-Eung Kim · Frank Park · Daniel Lee |
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Poster
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Tue 18:30 |
Consistent Robust Regression Kush Bhatia · Prateek Jain · Parameswaran Kamalaruban · Purushottam Kar |
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Poster
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Mon 18:30 |
Bayesian Dyadic Trees and Histograms for Regression Stéphanie van der Pas · Veronika Rockova |