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Sujay Sanghavi
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Publications
- 2023
- [c71]Alexia Atsidakou, Branislav Kveton, Sumeet Katariya, Constantine Caramanis, Sujay Sanghavi:
Logarithmic Bayes Regret Bounds. NeurIPS 2023 - [i70]Alexia Atsidakou, Branislav Kveton, Sumeet Katariya, Constantine Caramanis, Sujay Sanghavi:
Logarithmic Bayes Regret Bounds. CoRR abs/2306.09136 (2023) - 2022
- [c68]Alexia Atsidakou, Orestis Papadigenopoulos, Constantine Caramanis, Sujay Sanghavi, Sanjay Shakkottai:
Asymptotically-Optimal Gaussian Bandits with Side Observations. ICML 2022: 1057-1077 - 2018
- [j26]Dohyung Park, Anastasios Kyrillidis, Constantine Caramanis, Sujay Sanghavi:
Finding Low-Rank Solutions via Nonconvex Matrix Factorization, Efficiently and Provably. SIAM J. Imaging Sci. 11(4): 2165-2204 (2018) - 2017
- [c51]Dohyung Park, Anastasios Kyrillidis, Constantine Caramanis, Sujay Sanghavi:
Non-square matrix sensing without spurious local minima via the Burer-Monteiro approach. AISTATS 2017: 65-74 - [i36]Anastasios Kyrillidis, Amir Kalev, Dohyung Park, Srinadh Bhojanapalli, Constantine Caramanis, Sujay Sanghavi:
Provable quantum state tomography via non-convex methods. CoRR abs/1711.02524 (2017) - 2016
- [j21]Yudong Chen, Huan Xu, Constantine Caramanis, Sujay Sanghavi:
Matrix Completion With Column Manipulation: Near-Optimal Sample-Robustness-Rank Tradeoffs. IEEE Trans. Inf. Theory 62(1): 503-526 (2016) - [c50]Dohyung Park, Anastasios Kyrillidis, Constantine Caramanis, Sujay Sanghavi:
Finding low-rank solutions to smooth convex problems via the Burer-Monteiro approach. Allerton 2016: 439-446 - [i34]Dohyung Park, Anastasios Kyrillidis, Srinadh Bhojanapalli, Constantine Caramanis, Sujay Sanghavi:
Provable non-convex projected gradient descent for a class of constrained matrix optimization problems. CoRR abs/1606.01316 (2016) - [i33]Dohyung Park, Anastasios Kyrillidis, Constantine Caramanis, Sujay Sanghavi:
Finding Low-rank Solutions to Matrix Problems, Efficiently and Provably. CoRR abs/1606.03168 (2016) - [i32]Xinyang Yi, Constantine Caramanis, Sujay Sanghavi:
Solving a Mixture of Many Random Linear Equations by Tensor Decomposition and Alternating Minimization. CoRR abs/1608.05749 (2016) - [i31]Dohyung Park, Anastasios Kyrillidis, Constantine Caramanis, Sujay Sanghavi:
Non-square matrix sensing without spurious local minima via the Burer-Monteiro approach. CoRR abs/1609.03240 (2016) - 2014
- [c40]Xinyang Yi, Constantine Caramanis, Sujay Sanghavi:
Alternating Minimization for Mixed Linear Regression. ICML 2014: 613-621 - [c36]Dohyung Park, Constantine Caramanis, Sujay Sanghavi:
Greedy Subspace Clustering. NIPS 2014: 2753-2761 - [i22]Dohyung Park, Constantine Caramanis, Sujay Sanghavi:
Greedy Subspace Clustering. CoRR abs/1410.8864 (2014) - 2013
- [j13]Yudong Chen, Ali Jalali, Sujay Sanghavi, Constantine Caramanis:
Low-Rank Matrix Recovery From Errors and Erasures. IEEE Trans. Inf. Theory 59(7): 4324-4337 (2013) - 2012
- [j11]Huan Xu, Constantine Caramanis, Sujay Sanghavi:
Robust PCA via Outlier Pursuit. IEEE Trans. Inf. Theory 58(5): 3047-3064 (2012) - 2011
- [c21]Yudong Chen, Huan Xu, Constantine Caramanis, Sujay Sanghavi:
Robust Matrix Completion and Corrupted Columns. ICML 2011: 873-880 - [c19]Yudong Chen, Ali Jalali, Sujay Sanghavi, Constantine Caramanis:
Low-rank matrix recovery from errors and erasures. ISIT 2011: 2313-2317 - [i13]Yudong Chen, Huan Xu, Constantine Caramanis, Sujay Sanghavi:
Robust Matrix Completion with Corrupted Columns. CoRR abs/1102.2254 (2011) - [i12]Yudong Chen, Ali Jalali, Sujay Sanghavi, Constantine Caramanis:
Low-rank Matrix Recovery from Errors and Erasures. CoRR abs/1104.0354 (2011) - 2010
- [c14]Huan Xu, Constantine Caramanis, Sujay Sanghavi:
Robust PCA via Outlier Pursuit. NIPS 2010: 2496-2504 - [i7]Huan Xu, Constantine Caramanis, Sujay Sanghavi:
Robust PCA via Outlier Pursuit. CoRR abs/1010.4237 (2010)
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