Mikhail Khodak

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Ameet TalwalkarCMU, DatadogVerified 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 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
Junhong ShenPh.D. student in Machine Learning, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Renbo TuUniversity of TorontoVerified email at mail.utoronto.ca
Virginia SmithCarnegie Mellon UniversityVerified email at cmu.edu
Tian LiUniversity of ChicagoVerified email at uchicago.edu
Sergei VassilvitskiiGoogleVerified email at google.com
Jeffrey LiUniversity of WashingtonVerified email at cs.washington.edu
Tri DaoPrinceton University, Together AIVerified email at princeton.edu
Christopher RéComputer Science, Stanford UniversityVerified email at cs.stanford.edu
Nicolò FusiPartner Researcher, Microsoft ResearchVerified email at microsoft.com
Neil TenenholtzMicrosoft ResearchVerified email at microsoft.com
Lester MackeyMicrosoft ResearchVerified email at microsoft.com
Yingyu LiangUW-MadisonVerified email at cs.wisc.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	7204	2021
A theoretical analysis of contrastive unsupervised representation learning S Arora, H Khandeparkar, M Khodak, O Plevrakis, N Saunshi ICML, 2019	900*	2019
Adaptive gradient-based meta-learning methods M Khodak, MF Balcan, A Talwalkar NeurIPS, 2019	418	2019
A large self-annotated corpus for sarcasm M Khodak, N Saunshi, K Vodrahalli LREC, 2017	296	2017
Provable guarantees for gradient-based meta-learning M Khodak, MF Balcan, A Talwalkar ICML, 2019	181*	2019
Differentially private meta-learning J Li, M Khodak, S Caldas, A Talwalkar ICLR, 2019	159	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	132	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	100*	2021
Geometry-Aware Gradient Algorithms for Neural Architecture Search L Li, M Khodak, MF Balcan, A Talwalkar ICLR, 2020	83	2020
Initialization and Regularization of Factorized Neural Layers M Khodak, N Tenenholtz, L Mackey, N Fusi ICLR, 2021	59	2021
NAS-Bench-360: Benchmarking Neural Architecture Search on Diverse Tasks R Tu, N Roberts, M Khodak, J Shen, F Sala, A Talwalkar	56*	2022
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
Automated wordnet construction using word embeddings M Khodak, A Risteski, C Fellbaum, S Arora SENSE, 12-23, 2017	48	2017
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	47	2023
Efficient architecture search for diverse tasks J Shen, M Khodak, A Talwalkar Advances in Neural Information Processing Systems 35, 16151-16164, 2022	39	2022
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	37	2022
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	33	2021
Learning cloud dynamics to optimize spot instance bidding strategies M Khodak, L Zheng, AS Lan, C Joe-Wong, M Chiang INFOCOM, 2762-2770, 2018	32	2018
Learning predictions for algorithms with predictions M Khodak, MFF Balcan, A Talwalkar, S Vassilvitskii Advances in Neural Information Processing Systems 35, 3542-3555, 2022	31	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	29	2019

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