Mikhail Khodak

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Ameet TalwalkarCMU and Determined AIVerified email at cmu.edu
Nikunj SaunshiPrinceton UniversityVerified email at princeton.edu
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
Hrishikesh KhandeparkarQuantitative Researcher, Citadel SecuritiesVerified email at alumni.princeton.edu
Liam LiCarnegie Mellon UniversityVerified email at liamcli.com
Kiran VodrahalliPh.D. student, Columbia UniversityVerified email at columbia.edu
Nicholas RobertsPhD student UW-MadisonVerified email at cs.wisc.edu
Andrej RisteskiCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Renbo TuUniversity of TorontoVerified email at mail.utoronto.ca
Jeffrey LiUniversity of WashingtonVerified email at cs.washington.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
Virginia SmithCarnegie Mellon UniversityVerified email at cmu.edu
Tian LiCarnegie Mellon UniversityVerified email at cmu.edu
Carlee Joe-WongRobert E. Doherty Associate Professor, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Andrew S. LanUniversity of Massachusetts AmherstVerified email at cs.umass.edu
Mung ChiangArthur LeGrand Doty Professor of Electrical Engineering, Princeton UniversityVerified email at princeton.edu
Nicolo FusiSenior Principal Researcher, Microsoft ResearchVerified email at microsoft.com

Mikhail Khodak

CMU

Verified email at cs.princeton.edu


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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	2139	2021
A theoretical analysis of contrastive unsupervised representation learning S Arora, H Khandeparkar, M Khodak, O Plevrakis, N Saunshi ICML, 2019	340*	2019
Adaptive gradient-based meta-learning methods M Khodak, MF Balcan, A Talwalkar NeurIPS, 2019	190	2019
A large self-annotated corpus for sarcasm M Khodak, N Saunshi, K Vodrahalli LREC, 2017	157	2017
Provable guarantees for gradient-based meta-learning M Khodak, MF Balcan, A Talwalkar ICML, 2019	113*	2019
Differentially private meta-learning J Li, M Khodak, S Caldas, A Talwalkar ICLR, 2019	77*	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	67	2018
A compressed sensing view of unsupervised text embeddings, bag-of-n-grams, and LSTMs S Arora, M Khodak, N Saunshi, K Vodrahalli ICLR, 2018	43	2018
Geometry-Aware Gradient Algorithms for Neural Architecture Search L Li, M Khodak, MF Balcan, A Talwalkar ICLR, 2020	37	2020
Automated wordnet construction using word embeddings M Khodak, A Risteski, C Fellbaum, S Arora SENSE, 12-23, 2017	35	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	19	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	18*	2021
A sample complexity separation between non-convex and convex meta-learning N Saunshi, Y Zhang, M Khodak, S Arora ICML, 2020	14	2020
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	14	2019
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	13	2015
Pixie: a social chatbot O Adewale, A Beatson, D Buniatyan, J Ge, M Khodak, H Lee, N Prasad, ... Alexa prize proceedings, 2017	12	2017
Initialization and Regularization of Factorized Neural Layers M Khodak, N Tenenholtz, L Mackey, N Fusi ICLR, 2021	7	2021
Extending and Improving Wordnet via Unsupervised Word Embeddings M Khodak, A Risteski, C Fellbaum, S Arora arXiv preprint arXiv:1705.00217, 2017	7	2017
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	6*	2021
NAS-Bench-360: Benchmarking Neural Architecture Search on Diverse Tasks R Tu, N Roberts, M Khodak, J Shen, F Sala, A Talwalkar	4*

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