Mikhail Khodak

Cited by

	All	Since 2019
Citations	9031	8930
h-index	21	21
i10-index	27	27

2600

1300

650

1950

201820192020202120222023202452 115 626 1306 2123 2546 2211

Public access

View all

16 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Ameet TalwalkarCMUVerified email at cmu.edu
Nikunj SaunshiResearch Scientist, GoogleVerified email at google.com
Maria-Florina BalcanProfessor, School of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Sanjeev AroraProfessor of Computer Science, Princeton UniversityVerified email at cs.princeton.edu
Liam LiCarnegie Mellon UniversityVerified email at liamcli.com
Kiran VodrahalliResearch Scientist, Google DeepMindVerified email at google.com
Hrishikesh KhandeparkarQuantitative Researcher, Citadel SecuritiesVerified email at alumni.princeton.edu
Nicholas RobertsPhD student UW-MadisonVerified email at cs.wisc.edu
Renbo TuUniversity of TorontoVerified email at mail.utoronto.ca
Virginia SmithCarnegie Mellon UniversityVerified email at cmu.edu
Junhong ShenPh.D. student in Machine Learning, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Tian LiUniversity of ChicagoVerified email at uchicago.edu
Jeffrey LiUniversity of WashingtonVerified email at cs.washington.edu
Sergei VassilvitskiiGoogleVerified email at google.com
Brandon M. StewartPrinceton UniversityVerified email at princeton.edu
Tengyu MAStanford UniversityVerified email at stanford.edu
Tri DaoPrinceton University, Together AIVerified email at princeton.edu
Christopher RéComputer Science, Stanford UniversityVerified email at cs.stanford.edu
Andrej RisteskiCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Nicolò FusiPartner Researcher, Microsoft ResearchVerified email at microsoft.com

Mikhail Khodak

CMU

Verified email at cs.princeton.edu


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Advances and open problems in federated learning P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ... Foundations and trends® in machine learning 14 (1–2), 1-210, 2021	6365	2021
A theoretical analysis of contrastive unsupervised representation learning S Arora, H Khandeparkar, M Khodak, O Plevrakis, N Saunshi ICML, 2019	817*	2019
Adaptive gradient-based meta-learning methods M Khodak, MF Balcan, A Talwalkar NeurIPS, 2019	389	2019
A large self-annotated corpus for sarcasm M Khodak, N Saunshi, K Vodrahalli LREC, 2017	283	2017
Provable guarantees for gradient-based meta-learning M Khodak, MF Balcan, A Talwalkar ICML, 2019	171*	2019
Differentially private meta-learning J Li, M Khodak, S Caldas, A Talwalkar ICLR, 2019	149	2019
A la carte embedding: Cheap but effective induction of semantic feature vectors M Khodak, N Saunshi, Y Liang, T Ma, B Stewart, S Arora ACL, 2018	127	2018
Federated hyperparameter tuning: Challenges, baselines, and connections to weight-sharing M Khodak, R Tu, T Li, L Li, MFF Balcan, V Smith, A Talwalkar Advances in Neural Information Processing Systems 34, 19184-19197, 2021	88*	2021
Geometry-Aware Gradient Algorithms for Neural Architecture Search L Li, M Khodak, MF Balcan, A Talwalkar ICLR, 2020	80	2020
A compressed sensing view of unsupervised text embeddings, bag-of-n-grams, and LSTMs S Arora, M Khodak, N Saunshi, K Vodrahalli ICLR, 2018	53	2018
Initialization and Regularization of Factorized Neural Layers M Khodak, N Tenenholtz, L Mackey, N Fusi ICLR, 2021	52	2021
NAS-Bench-360: Benchmarking Neural Architecture Search on Diverse Tasks R Tu, N Roberts, M Khodak, J Shen, F Sala, A Talwalkar	48*	2022
Automated wordnet construction using word embeddings M Khodak, A Risteski, C Fellbaum, S Arora SENSE, 12-23, 2017	47	2017
A deeper look at zero-cost proxies for lightweight NAS C White, M Khodak, R Tu, S Shah, S Bubeck ICLR Blog Track 445, 2022	33	2022
Cross-modal fine-tuning: Align then refine J Shen, L Li, LM Dery, C Staten, M Khodak, G Neubig, A Talwalkar International Conference on Machine Learning, 31030-31056, 2023	32	2023
Learning cloud dynamics to optimize spot instance bidding strategies M Khodak, L Zheng, AS Lan, C Joe-Wong, M Chiang INFOCOM, 2762-2770, 2018	31	2018
Rethinking neural operations for diverse tasks N Roberts, M Khodak, T Dao, L Li, C Ré, A Talwalkar Advances in Neural Information Processing Systems 34, 15855-15869, 2021	30	2021
Efficient architecture search for diverse tasks J Shen, M Khodak, A Talwalkar Advances in Neural Information Processing Systems 35, 16151-16164, 2022	29	2022
Direct fusion drive for interstellar exploration SA Cohen, C Swanson, N McGreivy, A Raja, E Evans, P Jandovitz, ... JBIS-Journal of the British Interplanetary Society 72 (2), 37-50, 2019	27	2019
Learning predictions for algorithms with predictions M Khodak, MFF Balcan, A Talwalkar, S Vassilvitskii Advances in Neural Information Processing Systems 35, 3542-3555, 2022	26	2022

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors