Sahand N. Negahban

Publication Activity (10 Years)

Years Active: 2008-2019
Publications (10 Years): 6

Top Topics

Greedy Algorithm

Matrix Completion

Autocalibration

High Dimensions

Top Venues

Publications

Chicheng Zhang, Alekh Agarwal, Hal Daumé III, John Langford, Sahand N. Negahban
Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback. CoRR (2019)
Rajiv Khanna, Ethan R. Elenberg, Alexandros G. Dimakis, Sahand N. Negahban, Joydeep Ghosh
Scalable Greedy Feature Selection via Weak Submodularity. AISTATS (2017)
Rajiv Khanna, Ethan R. Elenberg, Alexandros G. Dimakis, Sahand N. Negahban, Joydeep Ghosh
Scalable Greedy Feature Selection via Weak Submodularity. CoRR (2017)
Rajiv Khanna, Ethan R. Elenberg, Alexandros G. Dimakis, Sahand N. Negahban
On Approximation Guarantees for Greedy Low Rank Optimization. CoRR (2017)
Rajiv Khanna, Ethan R. Elenberg, Alexandros G. Dimakis, Joydeep Ghosh, Sahand N. Negahban
On Approximation Guarantees for Greedy Low Rank Optimization. ICML (2017)
Ethan R. Elenberg, Rajiv Khanna, Alexandros G. Dimakis, Sahand N. Negahban
Restricted Strong Convexity Implies Weak Submodularity. CoRR (2016)
Yu Lu, Sahand N. Negahban
Individualized rank aggregation using nuclear norm regularization. Allerton (2015)
Alekh Agarwal, Sahand N. Negahban, Martin J. Wainwright
Stochastic optimization and sparse statistical recovery: An optimal algorithm for high dimensions. CISS (2014)
Alekh Agarwal, Sahand N. Negahban, Martin J. Wainwright
Stochastic optimization and sparse statistical recovery: An optimal algorithm for high dimensions CoRR (2012)
Sahand N. Negahban, Martin J. Wainwright
Restricted Strong Convexity and Weighted Matrix Completion: Optimal Bounds with Noise. J. Mach. Learn. Res. 13 (2012)
Alekh Agarwal, Sahand N. Negahban, Martin J. Wainwright
Stochastic optimization and sparse statistical recovery: Optimal algorithms for high dimensions. NIPS (2012)
Alekh Agarwal, Sahand N. Negahban, Martin J. Wainwright
FASt global convergence of gradient methods for solving regularized M-estimation. SSP (2012)
Alekh Agarwal, Sahand N. Negahban, Martin J. Wainwright
Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions. ICML (2011)
Sahand N. Negahban, Martin J. Wainwright
-Regularization. IEEE Trans. Inf. Theory 57 (6) (2011)
Alekh Agarwal, Sahand N. Negahban, Martin J. Wainwright
Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions CoRR (2011)
Alekh Agarwal, Sahand N. Negahban, Martin J. Wainwright
Fast global convergence of gradient methods for high-dimensional statistical recovery CoRR (2011)
Alekh Agarwal, Sahand N. Negahban, Martin J. Wainwright
Fast global convergence rates of gradient methods for high-dimensional statistical recovery. NIPS (2010)
Sahand N. Negahban, Martin J. Wainwright
Estimation of (near) low-rank matrices with noise and high-dimensional scaling. ICML (2010)
Sahand N. Negahban, Pradeep Ravikumar, Martin J. Wainwright, Bin Yu
A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers CoRR (2010)
Sahand N. Negahban, Martin J. Wainwright
Restricted strong convexity and weighted matrix completion: Optimal bounds with noise CoRR (2010)
Sahand N. Negahban, Pradeep Ravikumar, Martin J. Wainwright, Bin Yu
A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers. NIPS (2009)
Sahand N. Negahban, Martin J. Wainwright
-regularization CoRR (2009)
Sahand N. Negahban, Martin J. Wainwright
Phase transitions for high-dimensional joint support recovery. NIPS (2008)