Vladimir Vovk | |
---|---|
Born | 1960 Ukraine |
Nationality | British |
Alma mater | |
Known for | Conformal prediction |
Academic career | |
Fields | Machine learning Statistics |
Institutions | |
Doctoral advisor | Andrey Kolmogorov, Alexei Semenov |
Vladimir Vovk is a British computer scientist, and professor at Royal Holloway University of London. He is the co-inventor of Conformal prediction and is known for his contributions to the concept of E-values. He is the co-director of the Centre for Machine Learning at Royal Holloway University of London, and a Fellow of the Royal Statistical Society.
Vovk started working as a researcher in the Russian Academy of Sciences, then became a Fellow in the Center for Advanced Study in the Behavioral Sciences at Stanford University. [1] He was appointed as a professor of Computer Science at Royal Holloway and Bedford New College, where he currently serves as co-director of the Centre for Machine Learning.
Early in his career, Vovk was heavily involved in the development of the foundations of probability, along with Glenn Shafer. Their work has resulted in a book, Probability and Finance: It's Only a Game!, published in 2001, which was subsequently translated into Japanese in 2006 by Masayuki Kumon and edited by Kei Takeuchi. In 2005, he co-invented the Conformal prediction framework with Alexander Gammerman.
Vovk has delivered speeches all around the world. In 2021, he was invited to deliver a series of memorial lectures to Prasanta Chandra Mahalanobis in India. [2] On the 20-year anniversary of The Society for Imprecise Probability (SIPTA) in 2019, he was invited to deliver a talk on "Game-theoretic foundations for imprecise probabilities" in Belgium. [3] In 2016, he delivered a seminar about "Probability-free theory of continuous martingales" at Imperial College in the UK. [4] In 2014, he delivered a seminar at University of Hawai'i in the USA. [5]
Vovk has written 9 books, more than 280 research papers, and has an estimated h-index of 53. [6] He holds fellowship positions at Stanford University (USA), Arizona State University (USA) and Yandex (Russia). [1] [7] [8]
Andrey Nikolaevich Kolmogorov was a Soviet mathematician who contributed to the mathematics of probability theory, topology, intuitionistic logic, turbulence, classical mechanics, algorithmic information theory and computational complexity.
Vladimir Naumovich Vapnik is a computer scientist, researcher, and academic. He is one of the main developers of the Vapnik–Chervonenkis theory of statistical learning and the co-inventor of the support-vector machine method and support-vector clustering algorithms.
Glenn Shafer is an American mathematician and statistician. He is the co-creator of Dempster–Shafer theory. He is a University Professor and Board of Governors Professor at Rutgers University.
Frank Plumpton Ramsey was a British philosopher, mathematician, and economist who made major contributions to all three fields before his death at the age of 26. He was a close friend of Ludwig Wittgenstein and, as an undergraduate, translated Wittgenstein's Tractatus Logico-Philosophicus into English. He was also influential in persuading Wittgenstein to return to philosophy and Cambridge. Like Wittgenstein, he was a member of the Cambridge Apostles, the secret intellectual society, from 1921.
Prasanta Chandra Mahalanobis OBE, FNA, FASc, FRS was an Indian scientist and statistician. He is best remembered for the Mahalanobis distance, a statistical measure, and for being one of the members of the first Planning Commission of free India. He made pioneering studies in anthropometry in India. He founded the Indian Statistical Institute, and contributed to the design of large-scale sample surveys. For his contributions, Mahalanobis has been considered the Father of statistics in India.
Ray Solomonoff was an American mathematician who invented algorithmic probability, his General Theory of Inductive Inference, and was a founder of algorithmic information theory. He was an originator of the branch of artificial intelligence based on machine learning, prediction and probability. He circulated the first report on non-semantic machine learning in 1956.
Kiyosi Itô was a Japanese mathematician who made fundamental contributions to probability theory, in particular, the theory of stochastic processes. He invented the concept of stochastic integral and stochastic differential equation, and is known as the founder of so-called Itô calculus. He also pioneered the world connections between stochastic calculus and differential geometry, known as stochastic differential geometry, invited for the ICM in Stockholm.
Michael Irwin Jordan is an American scientist, professor at the University of California, Berkeley, research scientist at the Inria Paris, and researcher in machine learning, statistics, and artificial intelligence.
Sankar Kumar Pal is a computer scientist and the President of the Indian Statistical Institute (ISI), Kolkata. He is also a National Science Chair, Government of India. Prof. Pal is a computer scientist with an international reputation on pattern recognition, image processing, fuzzy neural network, rough fuzzy hybridization, soft computing, granular mining, and machine intelligence. He pioneered the development of fuzzy set theory, and neuro-fuzzy and rough-fuzzy computing for uncertainty modelling with demonstration in pattern recognition, image processing, machine learning, knowledge-based systems and data mining. Prof. Pal is widely recognized across the world for his pioneering and extraordinary contributions in Machine Intelligence, Fuzzy Logic, Soft Computing and Pattern Recognition. This has made India a leader in these disciplines in international scenario. He founded the Machine Intelligence Unit in 1993, and the Center for Soft Computing Research: A National Facility in 2004, both at the ISI. In the process he has created many renowned scientists out of his doctoral students.
Imprecise probability generalizes probability theory to allow for partial probability specifications, and is applicable when information is scarce, vague, or conflicting, in which case a unique probability distribution may be hard to identify. Thereby, the theory aims to represent the available knowledge more accurately. Imprecision is useful for dealing with expert elicitation, because:
Formal epistemology uses formal methods from decision theory, logic, probability theory and computability theory to model and reason about issues of epistemological interest. Work in this area spans several academic fields, including philosophy, computer science, economics, and statistics. The focus of formal epistemology has tended to differ somewhat from that of traditional epistemology, with topics like uncertainty, induction, and belief revision garnering more attention than the analysis of knowledge, skepticism, and issues with justification.
Patrick Colonel Suppes was an American philosopher who made significant contributions to philosophy of science, the theory of measurement, the foundations of quantum mechanics, decision theory, psychology and educational technology. He was the Lucie Stern Professor of Philosophy Emeritus at Stanford University and until January 2010 was the Director of the Education Program for Gifted Youth also at Stanford.
Dimitri Panteli Bertsekas is an applied mathematician, electrical engineer, and computer scientist, a McAfee Professor at the Department of Electrical Engineering and Computer Science in School of Engineering at the Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, and also a Fulton Professor of Computational Decision Making at Arizona State University, Tempe.
Jianqing Fan is a statistician, financial econometrician, and data scientist. He is currently the Frederick L. Moore '18 Professor of Finance, Professor of Operations Research and Financial Engineering, Professor of Statistics and Machine Learning, and a former Chairman of Department of Operations Research and Financial Engineering (2012–2015) and a former director of Committee of Statistical Studies (2005–2017) at Princeton University, where he directs both statistics lab and financial econometrics lab since 2008.
Guy Tinmouth Houlsby FREng is Professor of Civil Engineering and former Head of the Department of Engineering Science at the University of Oxford. He specialises in Geotechnical Engineering and more particularly in offshore foundations.
Nicholas Neocles Ambraseys FICE FREng was a Greek engineering seismologist. He was emeritus professor of engineering seismology and senior research fellow at Imperial College London. For many years Ambraseys was considered the leading figure and an authority in earthquake engineering and seismology in Europe.
Thomas G. Kurtz is an American emeritus professor of Mathematics and Statistics at University of Wisconsin-Madison known for his research contributions to many areas of probability theory and stochastic processes. In particular, Kurtz’s research focuses on convergence, approximation and representation of several important classes of Markov processes. His findings appear in scientific disciplines such as systems biology, population genetics, telecommunications networks and mathematical finance.
Vivek Shripad Borkar is an Indian electrical engineer, mathematician and an Institute chair professor at the Indian Institute of Technology, Mumbai. He is known for introducing analytical paradigm in stochastic optimal control processes and is an elected fellow of all the three major Indian science academies viz. the Indian Academy of Sciences, Indian National Science Academy and the National Academy of Sciences, India. He also holds elected fellowships of The World Academy of Sciences, Institute of Electrical and Electronics Engineers, Indian National Academy of Engineering and the American Mathematical Society. The Council of Scientific and Industrial Research, the apex agency of the Government of India for scientific research, awarded him the Shanti Swarup Bhatnagar Prize for Science and Technology, one of the highest Indian science awards for his contributions to Engineering Sciences in 1992. He received the TWAS Prize of the World Academy of Sciences in 2009.
Michael Bronstein is an Israeli computer scientist and entrepreneur. He is a computer science professor at the University of Oxford.
Alexander Gammerman is a British computer scientist, and professor at Royal Holloway University of London. He is the co-inventor of conformal prediction. He is the founding director of the Centre for Machine Learning at Royal Holloway, University of London, and a Fellow of the Royal Statistical Society.
This article needs additional or more specific categories .(February 2022) |