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Experts on "Machine Learning and Algorithms"

Researcher	Institution	Citations	h-index	Works
Vladimir N. Vapnik Machine Learning and Algorithms; Neural Networks and Applications; Machine Learning and Da	Columbia University US	215,330	70	162
Michael I. Jordan Stochastic Gradient Optimization Techniques; Gaussian Processes and Bayesian Inference; Ba	Institut national de recherche en sciences et technologies du numérique FR	213,712	172	1,432
Bernhard Schölkopf Machine Learning and Algorithms; Bayesian Modeling and Causal Inference; Neural Networks a	Royal Society GB	167,761	152	1,889
Dumitru Erhan Domain Adaptation and Few-Shot Learning; Advanced Neural Network Applications; Generative	–	137,027	41	74
Léon Bottou Stochastic Gradient Optimization Techniques; Machine Learning and Algorithms; Neural Netwo	–	136,022	72	265
Andrew Y. Ng Reinforcement Learning in Robotics; Machine Learning and Algorithms; Advanced Neural Netwo	Stanford University US	130,963	108	341
Robert E. Schapire Machine Learning and Algorithms; Machine Learning and Data Classification; Advanced Bandit	Microsoft (United States) US	112,121	77	356
Chih‐Jen Lin Stochastic Gradient Optimization Techniques; Machine Learning and Algorithms; Machine Lear	National Taiwan University TW	83,794	64	186
Eibe Frank Machine Learning and Data Classification; Data Mining and Machine Learning Applications; D	University of Waikato NZ	70,626	65	223
Corinna Cortes Machine Learning and Algorithms; Machine Learning and Data Classification; Stochastic Grad	Google (United States) US	69,576	44	154
Richard S. Sutton Reinforcement Learning in Robotics; Adaptive Dynamic Programming Control; Machine Learning	Canadian Institute for Advanced Research CA	69,076	66	247
Andrew McCallum Topic Modeling; Natural Language Processing Techniques; Bayesian Modeling and Causal Infer	University of Massachusetts Amherst US	67,297	103	481
Zhi‐Hua Zhou Machine Learning and Algorithms; Machine Learning and Data Classification; Domain Adaptati	Nanjing University CN	66,811	105	633
Hugo Larochelle Domain Adaptation and Few-Shot Learning; Neural Networks and Applications; Advanced Neural	–	66,259	61	216
Alex J. Smola Machine Learning and Algorithms; Stochastic Gradient Optimization Techniques; Machine Lear	Bose (United States) US	65,939	80	202
John S. Shawe-Taylor Machine Learning and Algorithms; Neural Networks and Applications; Stochastic Gradient Opt	UNESCO FR	64,329	75	863
Daphne Koller Bayesian Modeling and Causal Inference; Logic, Reasoning, and Knowledge; Machine Learning	insitro, inc. (United States) US	61,176	125	463
Alexander Johannes Smola Machine Learning and Algorithms; Neural Networks and Applications; Stochastic Gradient Opt	Amazon (United States) US	59,000	68	192
Gunnar Rätsch Genomics and Phylogenetic Studies; Cancer Genomics and Diagnostics; Machine Learning and A	–	53,728	90	687
Yoav Freund Machine Learning and Algorithms; Machine Learning and Data Classification; Advanced Bandit	–	53,692	48	211