Mikhail Khodak

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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 BrainVerified 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
Tian LiCarnegie Mellon UniversityVerified email at cmu.edu
Jeffrey LiUniversity of WashingtonVerified email at cs.washington.edu
Andrej RisteskiCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Yingyu LiangUniversity of Wisconsin-MadisonVerified email at cs.wisc.edu
Brandon M. StewartPrinceton UniversityVerified email at princeton.edu
Tengyu MAStanford UniversityVerified email at stanford.edu
Tri DaoStanford University, Princeton UniversityVerified email at stanford.edu
Christopher RéComputer Science, Stanford UniversityVerified email at cs.stanford.edu
Sergei VassilvitskiiGoogleVerified email at google.com
Junhong ShenPh.D. student in Machine Learning, Carnegie Mellon UniversityVerified email at andrew.cmu.edu

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	4465	2021
A theoretical analysis of contrastive unsupervised representation learning S Arora, H Khandeparkar, M Khodak, O Plevrakis, N Saunshi ICML, 2019	661*	2019
Adaptive gradient-based meta-learning methods M Khodak, MF Balcan, A Talwalkar NeurIPS, 2019	321	2019
A large self-annotated corpus for sarcasm M Khodak, N Saunshi, K Vodrahalli LREC, 2017	228	2017
Provable guarantees for gradient-based meta-learning M Khodak, MF Balcan, A Talwalkar ICML, 2019	156*	2019
Differentially private meta-learning J Li, M Khodak, S Caldas, A Talwalkar ICLR, 2019	120*	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	99	2018
Geometry-Aware Gradient Algorithms for Neural Architecture Search L Li, M Khodak, MF Balcan, A Talwalkar ICLR, 2020	68	2020
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	63*	2021
A compressed sensing view of unsupervised text embeddings, bag-of-n-grams, and LSTMs S Arora, M Khodak, N Saunshi, K Vodrahalli ICLR, 2018	48	2018
Automated wordnet construction using word embeddings M Khodak, A Risteski, C Fellbaum, S Arora SENSE, 12-23, 2017	41	2017
Learning cloud dynamics to optimize spot instance bidding strategies M Khodak, L Zheng, AS Lan, C Joe-Wong, M Chiang INFOCOM, 2762-2770, 2018	30	2018
Initialization and Regularization of Factorized Neural Layers M Khodak, N Tenenholtz, L Mackey, N Fusi ICLR, 2021	27	2021
NAS-Bench-360: Benchmarking Neural Architecture Search on Diverse Tasks R Tu, N Roberts, M Khodak, J Shen, F Sala, A Talwalkar	22*	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	22	2019
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	21	2021
Learning predictions for algorithms with predictions M Khodak, MFF Balcan, A Talwalkar, S Vassilvitskii Advances in Neural Information Processing Systems 35, 3542-3555, 2022	19	2022
A sample complexity separation between non-convex and convex meta-learning N Saunshi, Y Zhang, M Khodak, S Arora ICML, 2020	19	2020
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	18	2022
Reducing neutron emission from small fusion rocket engines SA Cohen, M Chu-Cheong, R Feder, K Griffin, M Khodak, J Klabacha, ... IAC, 7749-7759, 2015	17	2015

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