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Poster
Tue 14:00 List Learning with Attribute Noise
Mahdi Cheraghchi · Elena Grigorescu · Brendan Juba · Karl Wimmer · Ning Xie
Poster
Tue 14:00 Principal Subspace Estimation Under Information Diffusion
Fan Zhou · Ping Li · Zhixin Zhou
Poster
Tue 14:00 Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions
Hossein Taheri · Ramtin Pedarsani · Christos Thrampoulidis
Poster
Tue 14:00 Multitask Bandit Learning Through Heterogeneous Feedback Aggregation
Zhi Wang · Chicheng Zhang · Manish Kumar Singh · Laurel Riek · Kamalika Chaudhuri
Poster
Tue 14:00 An Efficient Algorithm For Generalized Linear Bandit: Online Stochastic Gradient Descent and Thompson Sampling
QIN DING · Cho-Jui Hsieh · James Sharpnack
Poster
Tue 14:00 Sketch based Memory for Neural Networks
Rina Panigrahy · Xin Wang · Manzil Zaheer
Poster
Tue 14:00 Sample Elicitation
Jiaheng Wei · Zuyue Fu · Yang Liu · Xingyu Li · Zhuoran Yang · Zhaoran Wang
Poster
Tue 14:00 Non-asymptotic Performance Guarantees for Neural Estimation of f-Divergences
Sreejith Sreekumar · Zhengxin Zhang · Ziv Goldfeld
Poster
Tue 18:30 Experimental Design for Regret Minimization in Linear Bandits
Andrew Wagenmaker · Julian Katz-Samuels · Kevin Jamieson
Poster
Tue 18:30 Stability and Risk Bounds of Iterative Hard Thresholding
Xiaotong Yuan · Ping Li
Poster
Tue 18:30 The Spectrum of Fisher Information of Deep Networks Achieving Dynamical Isometry
Tomohiro Hayase · Ryo Karakida
Poster
Tue 18:30 Learning Shared Subgraphs in Ising Model Pairs
Burak Varici · Saurabh Sihag · Ali Tajer