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Poster
Wed 9:00 Learning Bayesian networks with ancestral constraints
Eunice Yuh-Jie Chen · Yujia Shen · Arthur Choi · Adnan Darwiche
Poster
Mon 9:00 Causal meets Submodular: Subset Selection with Directed Information
Yuxun Zhou · Costas J Spanos
Poster
Mon 9:00 Learning Tree Structured Potential Games
Vikas Garg · Tommi Jaakkola
Poster
Mon 9:00 Exploiting Tradeoffs for Exact Recovery in Heterogeneous Stochastic Block Models
Amin Jalali · Qiyang Han · Ioana Dumitriu · Maryam Fazel
Poster
Wed 9:00 Dynamic Network Surgery for Efficient DNNs
Yiwen Guo · Anbang Yao · Yurong Chen
Poster
Wed 9:00 The Multiple Quantile Graphical Model
Alnur Ali · J. Zico Kolter · Ryan Tibshirani
Poster
Wed 9:00 High Dimensional Structured Superposition Models
Qilong Gu · Arindam Banerjee
Poster
Mon 9:00 DECOrrelated feature space partitioning for distributed sparse regression
Xiangyu Wang · David B Dunson · Chenlei Leng
Poster
Wed 9:00 Structured Sparse Regression via Greedy Hard Thresholding
Prateek Jain · Nikhil Rao · Inderjit Dhillon
Poster
Mon 9:00 Reconstructing Parameters of Spreading Models from Partial Observations
Andrey Lokhov
Poster
Tue 9:00 Statistical Inference for Pairwise Graphical Models Using Score Matching
Ming Yu · Mladen Kolar · Varun Gupta
Poster
Mon 9:00 Learning Parametric Sparse Models for Image Super-Resolution
Yongbo Li · Weisheng Dong · Xuemei Xie · GUANGMING Shi · Xin Li · Donglai Xu