Sahand Negahban

Associate Professor, Yale University

Joined

July 2019

Names

Sahand Negahban

Emails

****@yale.edu (Confirmed)

Personal Links

Homepage

DBLP

Career & Education History

Associate Professor

Yale University (yale.edu)

2013 – Present

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Exploiting 3D Shape Bias towards Robust Vision
Yutaro Yamada, Yuval Kluger, Sahand Negahban, Ilker Yildirim
- Published: 02 Nov 2021, Last Modified: 05 May 2023
- SVRHM 2021 Poster
- Readers: Everyone
Geon3D: Exploiting 3D Shape Bias towards Building Robust Machine Vision
Yutaro Yamada, Yuval Kluger, Sahand Negahban, Ilker Yildirim
- 29 Sept 2021 (modified: 13 Feb 2023)
- ICLR 2022 Conference Withdrawn Submission
- Readers: Everyone
Geon3D: Benchmarking 3D Shape Bias towards Building Robust Machine Vision
Yutaro Yamada, Yuval Kluger, Sahand Negahban, Ilker Yildirim
- 08 Jun 2021 (modified: 24 May 2023)
- Submitted to NeurIPS 2021 Datasets and Benchmarks Track (Round 1)
- Readers: Everyone
Distributed Machine Learning with Sparse Heterogeneous Data
Dominic Richards, Sahand Negahban, Patrick Rebeschini
- Published: 09 Nov 2021, Last Modified: 05 May 2023
- NeurIPS 2021 Poster
- Readers: Everyone
Learning from comparisons and choices
Sahand Negahban, Sewoong Oh, Kiran Koshy Thekumparampil, Jiaming Xu
- 07 May 2021
- OpenReview Archive Direct Upload
- Readers: Everyone
Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback
Chicheng Zhang, Alekh Agarwal, Hal Daumé III, John Langford, Sahand Negahban
- 2019 (modified: 11 Nov 2022)
- ICML 2019
- Readers: Everyone
Minimax Estimation of Bandable Precision Matrices
Addison Hu, Sahand Negahban
- 2017 (modified: 11 Nov 2022)
- NIPS 2017
- Readers: Everyone
On Approximation Guarantees for Greedy Low Rank Optimization
Rajiv Khanna, Ethan R. Elenberg, Alexandros G. Dimakis, Joydeep Ghosh, Sahand N. Negahban
- 2017 (modified: 11 Nov 2022)
- ICML 2017
- Readers: Everyone
Iterative ranking from pair-wise comparisons
Sahand Negahban, Sewoong Oh, Devavrat Shah
- 2012 (modified: 11 Nov 2022)
- NIPS 2012
- Readers: Everyone
Stochastic optimization and sparse statistical recovery: Optimal algorithms for high dimensions
Alekh Agarwal, Sahand N. Negahban, Martin J. Wainwright
- 2012 (modified: 11 Nov 2022)
- NIPS 2012
- Readers: Everyone

View all 15 publications

Sahand Negahban

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Co-Authors