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Poster
Wed 17:00 Fast Low-rank Metric Learning for Large-scale and High-dimensional Data
Han Liu · Zhizhong Han · Yu-Shen Liu · Ming Gu
Poster
Wed 10:45 Rates of Convergence for Large-scale Nearest Neighbor Classification
Xingye Qiao · Jiexin Duan · Guang Cheng
Poster
Tue 17:30 Large-scale optimal transport map estimation using projection pursuit
Cheng Meng · Yuan Ke · Jingyi Zhang · Mengrui Zhang · Wenxuan Zhong · Ping Ma
Workshop
Fri 14:45 Contributed Talk: TabFact: A Large-scale Dataset for Table-based Fact Verification
Wenhu Chen
Poster
Wed 10:45 Faster Boosting with Smaller Memory
Julaiti Alafate · Yoav S Freund
Poster
Tue 10:45 k-Means Clustering of Lines for Big Data
Yair Marom · Dan Feldman
Poster
Wed 10:45 Coresets for Archetypal Analysis
Sebastian Mair · Ulf Brefeld
Poster
Thu 17:00 Interaction Hard Thresholding: Consistent Sparse Quadratic Regression in Sub-quadratic Time and Space
Shuo Yang · Yanyao Shen · Sujay Sanghavi
Poster
Wed 17:00 Fast and Accurate Stochastic Gradient Estimation
Beidi Chen · Yingchen Xu · Anshumali Shrivastava
Poster
Wed 17:00 Sparse Variational Inference: Bayesian Coresets from Scratch
Trevor Campbell · Boyan Beronov
Poster
Wed 10:45 Regularized Gradient Boosting
Corinna Cortes · Mehryar Mohri · Dmitry Storcheus
Poster
Thu 17:00 On Distributed Averaging for Stochastic k-PCA
Aditya Bhaskara · Pruthuvi Maheshakya Wijewardena