Kirthevasan Kandasamy

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	Tutte	Dal 2019
Citazioni	3684	3335
Indice H	23	23
i10-index	29	28

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Barnabas PoczosAssociate professor, Carnegie Mellon UniversityEmail verificata su cs.cmu.edu
Jeff SchneiderCarnegie Mellon UniversityEmail verificata su cs.cmu.edu
Willie NeiswangerAssistant Professor of Computer Science, University of Southern CaliforniaEmail verificata su cs.stanford.edu
Akshay KrishnamurthyUniversity of Massachusetts AmherstEmail verificata su cs.umass.edu
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UEmail verificata su cs.cmu.edu
Gautam DasarathyAssociate Professor, Electrical Engineering, Arizona State UniversityEmail verificata su asu.edu
Biswajit PariaGoogleEmail verificata su google.com
Ion StoicaProfessor of Computer Science, UC BerkeleyEmail verificata su cs.berkeley.edu
Joseph E. GonzalezProfessor of Computer Science, UC BerkeleyEmail verificata su berkeley.edu
Larry WassermanProfessor, Department of Statistics and Machine Learning Department, Carnegie Mellon UniversityEmail verificata su stat.cmu.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyEmail verificata su cs.berkeley.edu
Junier OlivaAssociate Professor, University of North CarolinaEmail verificata su cs.unc.edu
Sven BurkePostdoc, University of ChicagoEmail verificata su Uchicago.edu
Adarsh DaveResearch Staff, Carnegie Mellon UniversityEmail verificata su andrew.cmu.edu
Rajat SenGoogleEmail verificata su utexas.edu
Andrew Oakleigh NelsonAssociate Research Scientist, Columbia UniversityEmail verificata su columbia.edu
Christopher CollinsPhD Student, Carnegie Mellon UniversityEmail verificata su cmu.edu
Jay WhitacreCarnegie Mellon UniversityEmail verificata su andrew.cmu.edu
Venkatasubramanian ViswanathanAssociate Professor, University of MichiganEmail verificata su umich.edu
Ksenia KorovinaCarnegie Mellon UniversityEmail verificata su cs.cmu.edu

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Kirthevasan Kandasamy

University of Wisconsin-Madison

Email verificata su cs.wisc.edu - Home page

Machine Learning


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Neural architecture search with bayesian optimisation and optimal transport K Kandasamy, W Neiswanger, J Schneider, B Poczos, EP Xing Advances in neural information processing systems 31, 2018	724	2018
High dimensional Bayesian optimisation and bandits via additive models K Kandasamy, J Schneider, B Póczos International conference on machine learning, 295-304, 2015	430	2015
Parallelised Bayesian Optimisation via Thompson Sampling K Kandasamy, A Krishnamurthy, J Schneider, B Póczos International Conference on Artificial Intelligence and Statistics, 133-142, 2018	329*	2018
Multi-fidelity bayesian optimisation with continuous approximations K Kandasamy, G Dasarathy, J Schneider, B Póczos International conference on machine learning, 1799-1808, 2017	259	2017
Tuning hyperparameters without grad students: Scalable and robust bayesian optimisation with dragonfly K Kandasamy, KR Vysyaraju, W Neiswanger, B Paria, CR Collins, ... Journal of Machine Learning Research 21 (81), 1-27, 2020	230	2020
Gaussian process optimisation with multi-fidelity evaluations K Kandasamy, G Dasarathy, J Oliva, J Schneider, B Póczos Proceedings of the 30th/International Conference on Advances in Neural …, 2016	202*	2016
A flexible framework for multi-objective bayesian optimization using random scalarizations B Paria, K Kandasamy, B Póczos Uncertainty in Artificial Intelligence, 766-776, 2020	177	2020
Autonomous discovery of battery electrolytes with robotic experimentation and machine learning A Dave, J Mitchell, K Kandasamy, H Wang, S Burke, B Paria, B Póczos, ... Cell Reports Physical Science 1 (12), 2020	159	2020
Nonparametric von mises estimators for entropies, divergences and mutual informations K Kandasamy, A Krishnamurthy, B Poczos, L Wasserman Advances in Neural Information Processing Systems, 397-405, 2015	146*	2015
Chembo: Bayesian optimization of small organic molecules with synthesizable recommendations K Korovina, S Xu, K Kandasamy, W Neiswanger, B Poczos, J Schneider, ... International Conference on Artificial Intelligence and Statistics, 3393-3403, 2020	143	2020
Nonparametric estimation of renyi divergence and friends A Krishnamurthy, K Kandasamy, B Poczos, L Wasserman International Conference on Machine Learning, 919-927, 2014	101	2014
High dimensional Bayesian optimization via restricted projection pursuit models CL Li, K Kandasamy, B Póczos, J Schneider Artificial Intelligence and Statistics, 884-892, 2016	97	2016
Multi-fidelity gaussian process bandit optimisation K Kandasamy, G Dasarathy, J Oliva, J Schneider, B Poczos Journal of Artificial Intelligence Research 66, 151-196, 2019	96	2019
Multi-fidelity black-box optimization with hierarchical partitions R Sen, K Kandasamy, S Shakkottai International conference on machine learning, 4538-4547, 2018	61	2018
Additive approximations in high dimensional nonparametric regression via the SALSA K Kandasamy, Y Yu International conference on machine learning, 69-78, 2016	50	2016
Bayesian active learning for posterior estimation K Kandasamy, J Schneider, B Póczos Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015	50	2015
Offline contextual bayesian optimization I Char, Y Chung, W Neiswanger, K Kandasamy, AO Nelson, M Boyer, ... Advances in Neural Information Processing Systems 32, 2019	48	2019
The multi-fidelity multi-armed bandit K Kandasamy, G Dasarathy, B Poczos, J Schneider Advances in neural information processing systems 29, 2016	43	2016
Query efficient posterior estimation in scientific experiments via Bayesian active learning K Kandasamy, J Schneider, B Póczos Artificial Intelligence 243, 45-56, 2017	38	2017
Batch Policy Gradient Methods for Improving Neural Conversation Models K Kandasamy, Y Bachrach, R Tomioka, D Tarlow, D Carter International Conference on Learning Representations, 2017	38	2017

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