Acm complexity computational dissertation distinguished learning machine
Michael Jordan | EECS at UC Berkeley
The field includes algorithms, data structures, complexity theory, distributed computation, parallel computation, VLSI, machine learning, computational biology, computational geometry, information
Georgia Tech Alum is Recognized for Outstanding
Dr. Carlson is a quantitative expert in machine learning. His expertise spans several fields including environmental engineering, biostatistics, psychiatry, and behavioral science. His research focuses on developing algorithms and analysis methods for diverse projects in engineering, population, and environmental health.
Constantinos Daskalakis | Simons Institute for the Theory
Sep 23, 2020 · Three ways Machine Learning fails and what to do about them Internet algorithmics; and computational complexity. Her recent service contributions to the research community include Program Chair of the ACM Symposium on Theory of Computing (2013), Department Chair of the Yale Computer Science Department (July 2014 through June 2017), General
Constantinos Daskalakis | MIT CSAIL Theory of Computation
Nov 02, 2020 · He is a research professor in the Coordinated Science Laboratory and an affiliate professor in the CS department. His current research interests include system-level and high-level synthesis, machine learning algorithms and acceleration, GPU and reconfigurable computing, computational genomics, and hardware security.
Deming Chen | Computer Science | U of I
Sanjeev Arora is Charles C. Fitzmorris Professor of Computer Science at Princeton University. He got his PhD at UC Berkeley in 1994. His research area spans several areas of theoretical Computer Science, including computational complexity and algorithm design, and theoretical problems in machine learning. He has received the ACM Doctoral Dissertation Award (1995), ACM-EATCS
SCS Announces Dissertation Award Winners, ACM Nominees
Aug 16, 2018 · Trailblazer in Computational Complexity Theory to Receive Knuth Prize. Håstad’s honors include receiving the ACM Doctoral Dissertation Award (1986), the Gödel Prize (1994 and 2011), and the Göran Gustafsson Prize in Mathematics. complexity theory, distributed computation, parallel computation, VLSI, machine learning, computational
4/19/05, National Center Professor of Resource Management
The ACM Special Interest Group on Algorithms and Computation Theory is an international organization that fosters and promotes the discovery and dissemination of high quality research in theoretical computer science (TCS), the formal analysis of efficient computation and computational processes.
Ming Lin and Hanan Samet Receive the Distinguished Career
Apr 13, 2020 · Daskalakis works on computation theory and its interface with game theory, economics, probability theory, statistics and machine learning. He has resolved long-standing open problems about the computational complexity of the Nash equilibrium, the mathematical structure and computational complexity of multi-item auctions, and the behavior of
Trailblazer in Computational Complexity Theory to Receive
The computational complexity of machine learning. PhD thesis, Harvard University Center for Research in Computing Technology. (Technical Report TR-13-89). Also published by MIT Press as an ACM Distinguished Dissertation.
Distinguished Lectures | Department of Computer Science
Computational geometry is a branch of computer science devoted to the study of algorithms which can be stated in terms of geometry.Some purely geometrical problems arise out of the study of computational geometric algorithms, and such problems are also considered to be part of computational geometry.While modern computational geometry is a recent development, it is one …
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Constantinos Daskalakis is a professor of computer science and electrical engineering at MIT. He holds a diploma in electrical and computer engineering from the National Technical University of Athens, and a PhD in computer science from UC Berkeley. He works on theory of computation and its interface with game theory, economics, probability theory, statistics and machine
Dissertation and Thesis Awards | UW Graduate School
Jul 16, 2020 · The Association for Computing Machinery today announced that Dor Minzer receives the 2019 ACM Doctoral Dissertation Award for his dissertation, “On Monotonicity Testing and the 2-to-2-Games Conjecture.” The key contributions of Minzer’s dissertation are settling the complexity of testing monotonicity of Boolean functions and making a significant advance toward resolving the …
Computational Complexity of Machine Learning (ACM
Research Interests: Computational molecular biology, as well as its interface with machine learning and algorithms. Presidental Early Career Award (PECASE), 2001. ACM Fellow, 2019.
Using Machine Learning to Support - ACM Digital Library
Jun 17, 2020 · A graduate student in the Computational Linguistics and Information Processing (CLIP) Laboratory has received funding from Microsoft Research that will support his work in reinforcement learning and machine learning.. Kianté Brantley, a fourth-year doctoral student in computer science, is one of only 10 graduate students in North America to receive a $25,000 Microsoft Research Dissertation
ACM SIGACT
2nd Workshop on Accelerated Machine Learning (AccML) Co-located with the ISCA 2020 Conference Kaeli is an IEEE Fellow and an ACM Distinguished Scientist. --- - Tushar Krishna (Georgia Tech) The computational complexity of these algorithms and a need for high energy-efficiency has led to a surge in research on hardware accelerators. To
Google's Dr. Patrick Flick Wins ACM SIGHPC Doctoral
Aug 12, 2020 · His interests focus on automated reasoning, a branch of artificial intelligence with broad applications to computer science, including machine learning, database theory, computational-complexity theory, knowledge in multi-agent systems, computer-aided verification, and teaching logic across the curriculum.
Home Page for Professor Michael Kearns, University of
TCS covers a wide variety of topics including algorithms, data structures, computational complexity, parallel and distributed computation, probabilistic computation, quantum computation, automata theory, information theory, cryptography, program semantics and verification, machine learning, computational biology, computational economics
Trailblazer in computational complexity theory to receive
Michael I. Jordan is the Pehong Chen Distinguished Professor in the Department of Electrical Engineering and Computer Science and the Department of Statistics at the University of California, Berkeley. D. M. Blei, A. Y. Ng, and M. Jordan, "Latent Dirichlet allocation," J. Machine Learning Research, vol. 3, pp. 993-1022, Jan. 2003
ACM Doctoral Dissertation Award Goes to Tel Aviv
The Computational Complexity of Machine Learning. This revision of my doctoral dissertation was published by the MIT Press as part of the ACM Doctoral Dissertation Award Series. As it is now out of print, I am making it available for downloading below.