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 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
Junhong ShenPh.D. student in Machine Learning, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Virginia SmithCarnegie Mellon UniversityVerified email at 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
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


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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	6731	2021
A theoretical analysis of contrastive unsupervised representation learning S Arora, H Khandeparkar, M Khodak, O Plevrakis, N Saunshi ICML, 2019	857*	2019
Adaptive gradient-based meta-learning methods M Khodak, MF Balcan, A Talwalkar NeurIPS, 2019	400	2019
A large self-annotated corpus for sarcasm M Khodak, N Saunshi, K Vodrahalli LREC, 2017	287	2017
Provable guarantees for gradient-based meta-learning M Khodak, MF Balcan, A Talwalkar ICML, 2019	178*	2019
Differentially private meta-learning J Li, M Khodak, S Caldas, A Talwalkar ICLR, 2019	152	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	129	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	93*	2021
Geometry-Aware Gradient Algorithms for Neural Architecture Search L Li, M Khodak, MF Balcan, A Talwalkar ICLR, 2020	81	2020
Initialization and Regularization of Factorized Neural Layers M Khodak, N Tenenholtz, L Mackey, N Fusi ICLR, 2021	57	2021
NAS-Bench-360: Benchmarking Neural Architecture Search on Diverse Tasks R Tu, N Roberts, M Khodak, J Shen, F Sala, A Talwalkar	54*	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	41	2023
Efficient architecture search for diverse tasks J Shen, M Khodak, A Talwalkar Advances in Neural Information Processing Systems 35, 16151-16164, 2022	36	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	34	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	27	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

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