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Poster
Wed 18:30 A Universal Analysis of Large-Scale Regularized Least Squares Solutions
Ashkan Panahi · Babak Hassibi
Poster
Tue 18:30 A Linear-Time Kernel Goodness-of-Fit Test
Wittawat Jitkrittum · Wenkai Xu · Zoltan Szabo · Kenji Fukumizu · Arthur Gretton
Poster
Wed 18:30 Action Centered Contextual Bandits
Kristjan Greenewald · Ambuj Tewari · Susan Murphy · Predag Klasnja
Poster
Mon 18:30 Bayesian Dyadic Trees and Histograms for Regression
Stéphanie van der Pas · Veronika Rockova
Poster
Mon 18:30 Learning ReLUs via Gradient Descent
Mahdi Soltanolkotabi
Poster
Wed 18:30 The Scaling Limit of High-Dimensional Online Independent Component Analysis
Chuang Wang · Yue Lu
Poster
Tue 18:30 Estimation of the covariance structure of heavy-tailed distributions
Xiaohan Wei · Stanislav Minsker
Poster
Mon 18:30 Concentration of Multilinear Functions of the Ising Model with Applications to Network Data
Constantinos Daskalakis · Nishanth Dikkala · Gautam Kamath
Poster
Wed 18:30 Submultiplicative Glivenko-Cantelli and Uniform Convergence of Revenues
Noga Alon · Moshe Babaioff · Yannai A. Gonczarowski · Yishay Mansour · Shay Moran · Amir Yehudayoff
Poster
Mon 18:30 Time-dependent spatially varying graphical models, with application to brain fMRI data analysis
Kristjan Greenewald · Seyoung Park · Shuheng Zhou · Alexander Giessing
Spotlight
Wed 11:30 A Universal Analysis of Large-Scale Regularized Least Squares Solutions
Ashkan Panahi · Babak Hassibi
Poster
Mon 18:30 Inductive Representation Learning on Large Graphs
Will Hamilton · Zhitao Ying · Jure Leskovec