Sahand Negahban

22 papers A* 4A 1Journal 11Unranked 6

Year	Rank	Type	Title / Venue / Authors
2021	—	`conf`	Connectome-Based Predictive Modelling With Missing Connectivity Data Using Robust Matrix Completion. ISBI Qinghao Liang, Sahand Negahban, Joseph Chang, Harrison H. Zhou, Dustin Scheinost
2021	A*	`conf`	Distributed Machine Learning with Sparse Heterogeneous Data. NeurIPS Dominic Richards, Sahand Negahban, Patrick Rebeschini
2020	A*	`conf`	Feature Selection using Stochastic Gates. ICML Yutaro Yamada, Ofir Lindenbaum, Sahand Negahban, Yuval Kluger
2020	J	`jnl`	Tree-Projected Gradient Descent for Estimating Gradient-Sparse Parameters on Graphs. CoRR Sheng Xu, Zhou Fan, Sahand Negahban
2020	A*	`conf`	Tree-projected gradient descent for estimating gradient-sparse parameters on graphs. COLT Sheng Xu, Zhou Fan, Sahand Negahban
2019	A*	`conf`	Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback. ICML Chicheng Zhang, Alekh Agarwal, Hal Daumé III, John Langford, Sahand Negahban
2018	J	`jnl`	Alternating Linear Bandits for Online Matrix-Factorization Recommendation. CoRR Hamid Dadkhahi, Sahand Negahban
2018	J	`jnl`	Deep supervised feature selection using Stochastic Gates. CoRR Yutaro Yamada, Ofir Lindenbaum, Sahand Negahban, Yuval Kluger
2018	J	`jnl`	Learning from Comparisons and Choices. J. Mach. Learn. Res. Sahand Negahban, Sewoong Oh, Kiran Koshy Thekumparampil, Jiaming Xu
2018	—	`conf`	Predicting Risk of 30-Day Readmissions Using Two Emerging Machine Learning Methods. Nursing Informatics Satish M. Mahajan, Amey S. Mahajan, Robert King, Sahand Negahban
2018	—	`conf`	Regional Differences in Predicting Risk of 30-Day Readmissions for Heart Failure. Nursing Informatics Satish M. Mahajan, Amey S. Mahajan, Sahand Negahban
2018	J	`jnl`	Understanding adversarial training: Increasing local stability of supervised models through robust optimization. Neurocomputing Uri Shaham, Yutaro Yamada, Sahand Negahban
2017	J	`jnl`	Learning from Comparisons and Choices. CoRR Sahand Negahban, Sewoong Oh, Kiran Koshy Thekumparampil, Jiaming Xu
2017	—	`conf`	Minimax Estimation of Bandable Precision Matrices. NIPS Addison Hu, Sahand Negahban
2017	J	`jnl`	Prediction of Adverse Events in Patients Undergoing Major Cardiovascular Procedures. IEEE J. Biomed. Health Informatics Bobak Mortazavi, Nihar Desai, Jing Zhang, Andreas Coppi, Fred Warner, Harlan M. Krumholz, Sahand Negahban
2017	J	`jnl`	Rank Centrality: Ranking from Pairwise Comparisons. Oper. Res. Sahand Negahban, Sewoong Oh, Devavrat Shah
2015	J	`jnl`	Understanding Adversarial Training: Increasing Local Stability of Neural Nets through Robust Optimization. CoRR Uri Shaham, Yutaro Yamada, Sahand Negahban
2012	J	`jnl`	Iterative Ranking from Pair-wise Comparisons CoRR Sahand Negahban, Sewoong Oh, Devavrat Shah
2012	—	`conf`	Iterative ranking from pair-wise comparisons. NIPS Sahand Negahban, Sewoong Oh, Devavrat Shah
2012	—	`conf`	Learning sparse Boolean polynomials. Allerton Conference Sahand Negahban, Devavrat Shah
2012	J	`jnl`	Scaling Multiple-Source Entity Resolution using Statistically Efficient Transfer Learning CoRR Sahand Negahban, Benjamin I. P. Rubinstein, Jim Gemmell
2012	A	`conf`	Scaling multiple-source entity resolution using statistically efficient transfer learning. CIKM Sahand Negahban, Benjamin I. P. Rubinstein, Jim Gemmell