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44 Results
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Poster
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Wed 21:00 |
Robust Meta-learning for Mixed Linear Regression with Small Batches Weihao Kong · Raghav Somani · Sham Kakade · Sewoong Oh |
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Poster
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Tue 9:00 |
HyNet: Learning Local Descriptor with Hybrid Similarity Measure and Triplet Loss Yurun Tian · Axel Barroso Laguna · Tony Ng · Vassileios Balntas · Krystian Mikolajczyk |
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Poster
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Mon 21:00 |
LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-resolution and Beyond Wenbo Li · Kun Zhou · Lu Qi · Nianjuan Jiang · Jiangbo Lu · Jiaya Jia |
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Poster
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Wed 9:00 |
Dual Instrumental Variable Regression Krikamol Muandet · Arash Mehrjou · Si Kai Lee · Anant Raj |
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Poster
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Tue 9:00 |
Myersonian Regression Allen Liu · Renato Leme · Jon Schneider |
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Poster
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Wed 21:00 |
Displacement-Invariant Matching Cost Learning for Accurate Optical Flow Estimation Jianyuan Wang · Yiran Zhong · Yuchao Dai · Kaihao Zhang · Pan Ji · Hongdong Li |
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Workshop
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Sat 12:49 |
Scalable Gaussian Process Regression Via Median Posterior Inference for Estimating Multi-Pollutant Mixture Health Effects - Aaron Sonabend Aaron Sonabend |
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Poster
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Wed 9:00 |
Fair regression via plug-in estimator and recalibration with statistical guarantees Evgenii Chzhen · Christophe Denis · Mohamed Hebiri · Luca Oneto · Massimiliano Pontil |
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Poster
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Wed 9:00 |
Deep Evidential Regression Alexander Amini · Wilko Schwarting · Ava P Soleimany · Daniela Rus |
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Oral
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Wed 18:15 |
AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity Silviu-Marian Udrescu · Andrew Tan · Jiahai Feng · Orisvaldo Neto · Tailin Wu · Max Tegmark |
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Poster
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Mon 21:00 |
Coresets for Regressions with Panel Data Lingxiao Huang · K Sudhir · Nisheeth Vishnoi |
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Poster
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Wed 21:00 |
Calibrated Reliable Regression using Maximum Mean Discrepancy Peng Cui · Wenbo Hu · Jun Zhu |