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Johns Hopkins University: Baltimore, MD, US

2014-02-01 to present | Associate Professor (Computer Science)
Employment
Source: Self-asserted source
Raman Arora

Works (50 of 118)

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Page 1 of 3

DART: A Principled Approach to Adversarially Robust Unsupervised Domain Adaptation

arXiv
2024 | Other
DOI: 10.48550/arXiv.2402.11120
EID:

2-s2.0-85186369638

Part of ISSN: 23318422
Contributors: Wang, Y.; Hazimeh, H.; Ponomareva, N.; Kurakin, A.; Hammoud, I.; Arora, R.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

ON SAMPLE-EFFICIENT OFFLINE REINFORCEMENT LEARNING: DATA DIVERSITY, POSTERIOR SAMPLING, AND BEYOND

arXiv
2024 | Other
DOI: 10.48550/arXiv.2401.03301
EID:

2-s2.0-85182327376

Part of ISSN: 23318422
Contributors: Nguyen-Tang, T.; Arora, R.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

Public-data Assisted Private Stochastic Optimization: Power and Limitations

arXiv
2024 | Other
DOI: 10.48550/arXiv.2403.03856
EID:

2-s2.0-85188709975

Part of ISSN: 23318422
Contributors: Ullah, E.; Menart, M.; Bassily, R.; Guzmán, C.; Arora, R.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

A Risk-Sensitive Approach to Policy Optimization

Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023
2023 | Conference paper
EID:

2-s2.0-85167985789

Part of ISBN: 9781577358800
Contributors: Markowitz, J.; Gardner, R.W.; Llorens, A.; Arora, R.; Wang, I.-J.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

Differentially Private Non-Convex Optimization under the KL Condition with Optimal Rates

arXiv
2023 | Other
DOI: 10.48550/arXiv.2311.13447
EID:

2-s2.0-85178444851

Part of ISSN: 23318422
Contributors: Menart, M.; Ullah, E.; Arora, R.; Bassily, R.; Guzmán, C.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

Faster Rates of Convergence to Stationary Points in Differentially Private Optimization

Proceedings of Machine Learning Research
2023 | Conference paper
EID:

2-s2.0-85174425419

Part of ISSN: 26403498
Contributors: Arora, R.; Bassily, R.; González, T.; Guzmán, C.; Menart, M.; Ullah, E.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

From Adaptive Query Release to Machine Unlearning

arXiv
2023 | Other
EID:

2-s2.0-85167961524

Part of ISSN: 23318422
Contributors: Ullah, E.; Arora, R.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

From Adaptive Query Release to Machine Unlearning

Proceedings of Machine Learning Research
2023 | Conference paper
EID:

2-s2.0-85174400233

Part of ISSN: 26403498
Contributors: Ullah, E.; Arora, R.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation

Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023
2023 | Conference paper
EID:

2-s2.0-85153334796

Part of ISBN: 9781577358800
Contributors: Nguyen-Tang, T.; Yin, M.; Gupta, S.; Venkatesh, S.; Arora, R.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

VIPER: PROVABLY EFFICIENT ALGORITHM FOR OFFLINE RL WITH NEURAL FUNCTION APPROXIMATION

arXiv
2023 | Other
DOI: 10.48550/arXiv.2302.12780
EID:

2-s2.0-85153400109

Part of ISSN: 23318422
Contributors: Nguyen-Tang, T.; Arora, R.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

A Risk-Sensitive Approach to Policy Optimization

arXiv
2022 | Other
DOI: 10.48550/arXiv.2208.09106
EID:

2-s2.0-85179982110

Part of ISSN: 23318422
Contributors: Markowitz, J.; Gardner, R.W.; Llorens, A.; Arora, R.; Wang, I.J.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

Adversarial Robustness is at Odds with Lazy Training

arXiv
2022 | Other
DOI: 10.48550/arXiv.2207.00411
EID:

2-s2.0-85134652409

Part of ISSN: 23318422
Contributors: Wang, Y.; Ullah, E.; Mianjy, P.; Arora, R.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

Adversarial Robustness is at Odds with Lazy Training

Advances in Neural Information Processing Systems
2022 | Conference paper
EID:

2-s2.0-85142025116

Part of ISBN: 9781713871088
Part of ISSN: 10495258
Contributors: Wang, Y.; Ullah, E.; Mianjy, P.; Arora, R.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

Differentially Private Generalized Linear Models Revisited

arXiv
2022 | Other
DOI: 10.48550/arxiv.2205.03014
EID:

2-s2.0-85169489792

Part of ISSN: 23318422
Contributors: Arora, R.; Bassily, R.; Guzmán, C.; Menart, M.; Ullah, E.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

Differentially Private Generalized Linear Models Revisited

Advances in Neural Information Processing Systems
2022 | Conference paper
EID:

2-s2.0-85149755882

Part of ISBN: 9781713871088
Part of ISSN: 10495258
Contributors: Arora, R.; Bassily, R.; Guzmán, C.; Menart, M.; Ullah, E.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

Faster Rates of Convergence to Stationary Points in Differentially Private Optimization

arXiv
2022 | Other
EID:

2-s2.0-85165201976

Part of ISSN: 23318422
Contributors: Arora, R.; Bassily, R.; González, T.; Guzmán, C.; Menart, M.; Ullah, E.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

Multiuser Scheduling in Centralized Cognitive Radio Networks: A Multi-Armed Bandit Approach

IEEE Transactions on Cognitive Communications and Networking
2022 | Journal article
DOI: 10.1109/TCCN.2022.3149113
EID:

2-s2.0-85124185763

Part of ISSN: 23327731
Contributors: Alipour-Fanid, A.; Dabaghchian, M.; Arora, R.; Zeng, K.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation

arXiv
2022 | Other
DOI: 10.48550/arXiv.2211.13208
EID:

2-s2.0-85143574420

Part of ISSN: 23318422
Contributors: Nguyen-Tang, T.; Yin, M.; Gupta, S.; Venkatesh, S.; Arora, R.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

Corralling Stochastic Bandit Algorithms

Proceedings of Machine Learning Research
2021 | Conference paper
EID:

2-s2.0-85161884279

Part of ISSN: 26403498
Contributors: Arora, R.; Marinov, T.V.; Mohri, M.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

Differentially Private Analysis on Graph Streams

Proceedings of Machine Learning Research
2021 | Conference paper
EID:

2-s2.0-85161823141

Part of ISSN: 26403498
Contributors: Arora, R.; Upadhyay, J.; Upadhyay, S.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

Dropout: Explicit Forms and Capacity Control

Proceedings of Machine Learning Research
2021 | Conference paper
EID:

2-s2.0-85161320898

Part of ISBN: 9781713845065
Part of ISSN: 26403498
Contributors: Arora, R.; Bartlett, P.; Mianjy, P.; Srebro, N.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

Machine unlearning via algorithmic stability

arXiv
2021 | Other
DOI: 10.48550/arxiv.2102.13179
EID:

2-s2.0-85170895823

Part of ISSN: 23318422
Contributors: Ullah, E.; Mai, T.; Rao, A.; Rossi, R.; Arora, R.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

Machine Unlearning via Algorithmic Stability

Proceedings of Machine Learning Research
2021 | Conference paper
EID:

2-s2.0-85127897567

Part of ISSN: 26403498
Contributors: Ullah, E.; Mai, T.; Rao, A.B.; Rossi, R.; Arora, R.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

Robust Learning for Data Poisoning Attacks

Proceedings of Machine Learning Research
2021 | Conference paper
EID:

2-s2.0-85161273950

Part of ISBN: 9781713845065
Part of ISSN: 26403498
Contributors: Wang, Y.; Mianjy, P.; Arora, R.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

Adversarial robustness of supervised sparse coding

Advances in Neural Information Processing Systems
2020 | Conference paper
EID:

2-s2.0-85099077547

Part of ISSN: 10495258
Contributors: Sulam, J.; Muthukumar, R.; Arora, R.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

Corralling stochastic bandit algorithms

arXiv
2020 | Other
DOI: 10.48550/arxiv.2006.09255
EID:

2-s2.0-85170592064

Part of ISSN: 23318422
Contributors: Arora, R.; Marinov, T.V.; Mohri, M.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

Dropout: Explicit forms and capacity control

arXiv
2020 | Other
DOI: 10.48550/arxiv.2003.03397
EID:

2-s2.0-85171025732

Part of ISSN: 23318422
Contributors: Arora, R.; Bartlett, P.; Mianjy, P.; Srebro, N.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

Fetchsgd: Communication-efficient federated learning with sketching

37th International Conference on Machine Learning, ICML 2020
2020 | Conference paper
EID:

2-s2.0-85105312778

Part of ISBN: 9781713821120
Contributors: Rothchild, D.; Panda, A.; Ullah, E.; Ivkin, N.; Stoica, I.; Braverman, V.; Gonzalez, J.; Arora, R.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

FetchSGD: Communication-Efficient Federated Learning with Sketching

arXiv
2020 | Other
DOI: 10.48550/arxiv.2007.07682
EID:

2-s2.0-85170113570

Part of ISSN: 23318422
Contributors: Rothchild, D.; Panda, A.; Ullah, E.; Ivkin, N.; Stoica, I.; Braverman, V.; Gonzalez, J.; Arora, R.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

Grounded Sequence to Sequence Transduction

IEEE Journal on Selected Topics in Signal Processing
2020 | Journal article
DOI: 10.1109/JSTSP.2020.2998415
EID:

2-s2.0-85087505272

Part of ISSN: 19410484 19324553
Contributors: Specia, L.; Barrault, L.; Caglayan, O.; Duarte, A.; Elliott, D.; Gella, S.; Holzenberger, N.; Lala, C.; Lee, S.J.; Libovicky, J. et al.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

Is network the bottleneck of distributed training?

arXiv
2020 | Other
DOI: 10.48550/arxiv.2006.10103
EID:

2-s2.0-85169715921

Part of ISSN: 23318422
Contributors: Zhang, Z.; Chang, C.; Lin, H.; Wang, Y.; Arora, R.; Jin, X.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

Is network the bottleneck of distributed training?

NetAI 2020 - Proceedings of the 2020 Workshop on Network Meets AI and ML
2020 | Conference paper
DOI: 10.1145/3405671.3405810
EID:

2-s2.0-85091974692

Part of ISBN: 9781450380430
Contributors: Zhang, Z.; Chang, C.; Lin, H.; Wang, Y.; Arora, R.; Jin, X.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

On convergence and generalization of dropout training

Advances in Neural Information Processing Systems
2020 | Conference paper
EID:

2-s2.0-85106075227

Part of ISSN: 10495258
Contributors: Mianjy, P.; Arora, R.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

Private Stochastic Convex Optimization: Efficient Algorithms for Non-smooth Objectives

arXiv
2020 | Other
DOI: 10.48550/arxiv.2002.09609
EID:

2-s2.0-85169981600

Part of ISSN: 23318422
Contributors: Arora, R.; Marinov, T.V.; Ullah, E.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

Bandits with feedback graphs and switching costs

arXiv
2019 | Other
DOI: 10.48550/arxiv.1907.12189
EID:

2-s2.0-85169963440

Part of ISSN: 23318422
Contributors: Arora, R.; Marinov, T.V.; Mohri, M.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

Bandits with feedback graphs and switching costs

Advances in Neural Information Processing Systems
2019 | Conference paper
EID:

2-s2.0-85090175879

Part of ISSN: 10495258
Contributors: Arora, R.; Marinov, T.V.; Mohri, M.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

Communication-efficient distributed SGD with sketching

arXiv
2019 | Other
DOI: 10.48550/arxiv.1903.04488
EID:

2-s2.0-85169630724

Part of ISSN: 23318422
Contributors: Ivkin, N.; Rothchild, D.; Ullah, E.; Braverman, V.; Stoica, I.; Arora, R.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

Communication-efficient distributed SGD with sketching

Advances in Neural Information Processing Systems
2019 | Conference paper
EID:

2-s2.0-85090175225

Part of ISSN: 10495258
Contributors: Ivkin, N.; Rothchild, D.; Ullah, E.; Braverman, V.; Stoica, I.; Arora, R.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

Deep generalized canonical correlation analysis

ACL 2019 - 4th Workshop on Representation Learning for NLP, RepL4NLP 2019 - Proceedings of the Workshop
2019 | Conference paper
EID:

2-s2.0-85084109962

Part of ISBN: 9781950737352
Contributors: Benton, A.; Khayrallah, H.; Gujral, B.; Reisinger, D.A.; Zhang, S.; Arora, R.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

Efficient convex relaxations for streaming PCA

Advances in Neural Information Processing Systems
2019 | Conference paper
EID:

2-s2.0-85090177022

Part of ISSN: 10495258
Contributors: Arora, R.; Marinov, T.V.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

Learning from Multiview Correlations in Open-domain Videos

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
2019 | Conference paper
DOI: 10.1109/ICASSP.2019.8683540
EID:

2-s2.0-85068971629

Part of ISBN: 9781479981311
Part of ISSN: 15206149
Contributors: Holzenberger, N.; Palaskar, S.; Madhyastha, P.; Metze, F.; Arora, R.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

Multiview Representation Learning for a Union of Subspaces

arXiv
2019 | Other
DOI: 10.48550/arxiv.1912.12766
EID:

2-s2.0-85170976083

Part of ISSN: 23318422
Contributors: Holzenberger, N.; Arora, R.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

On dropout and nuclear norm regularization

arXiv
2019 | Other
DOI: 10.48550/arxiv.1905.11887
EID:

2-s2.0-85169967325

Part of ISSN: 23318422
Contributors: Mianjy, P.; Arora, R.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

On dropout and nuclear norm regularization

36th International Conference on Machine Learning, ICML 2019
2019 | Conference paper
EID:

2-s2.0-85077962403

Part of ISBN: 9781510886988
Contributors: Mianjy, P.; Arora, R.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

On fast convergence of proximal algorithms for SQRT-lasso optimization: Don’t worry about its nonsmooth loss function

35th Conference on Uncertainty in Artificial Intelligence, UAI 2019
2019 | Conference paper
EID:

2-s2.0-85084012756
Contributors: Li, X.; Jiang, H.; Haupt, J.; Arora, R.; Liu, H.; Hong, M.; Zhao, T.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Don’t Worry About its Nonsmooth Loss Function

Proceedings of Machine Learning Research
2019 | Conference paper
EID:

2-s2.0-85129932643

Part of ISSN: 26403498
Contributors: Li, X.; Jiang, H.; Haupt, J.; Arora, R.; Liu, H.; Hong, M.; Zhao, T.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

Symmetry, Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization

IEEE Transactions on Information Theory
2019 | Journal article
DOI: 10.1109/TIT.2019.2898663
EID:

2-s2.0-85065984137

Part of ISSN: 15579654 00189448
Contributors: Li, X.; Lu, J.; Arora, R.; Haupt, J.; Liu, H.; Wang, Z.; Zhao, T.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

Visual robot task planning

Proceedings - IEEE International Conference on Robotics and Automation
2019 | Conference paper
DOI: 10.1109/ICRA.2019.8793736
EID:

2-s2.0-85071478130

Part of ISBN: 9781538660263
Part of ISSN: 10504729
Contributors: Paxton, C.; Barnoy, Y.; Katyal, K.; Arora, R.; Hager, G.D.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

Differentially private robust low-rank approximation

Advances in Neural Information Processing Systems
2018 | Conference paper
EID:

2-s2.0-85064839666

Part of ISSN: 10495258
Contributors: Arora, R.; Braverman, V.; Upadhyay, J.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier

Enter the Matrix: Factorization Uncovers Knowledge from Omics

Trends in Genetics
2018 | Journal article
DOI: 10.1016/j.tig.2018.07.003
EID:

2-s2.0-85051770269

Part of ISSN: 13624555 01689525
Contributors: Stein-O'Brien, G.L.; Arora, R.; Culhane, A.C.; Favorov, A.V.; Garmire, L.X.; Greene, C.S.; Goff, L.A.; Li, Y.; Ngom, A.; Ochs, M.F. et al.
Source: Self-asserted source
Raman Arora via Scopus - Elsevier
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