swap_horiz David MacKay Alternatives

1

Tony Hoare

Sir Charles Antony Richard "Tony" Hoare is a British computer scientist best known for developing the Quicksort sorting...

British Algorithms Programming Languages Quicksort

9.2 Excellent

2

Robin Milner

Robin Milner was a British computer scientist who made foundational contributions to theoretical computer science and pr...

Type Theory British Formal Methods ML Language

9.2 Excellent

3

Leslie Valiant

Leslie Valiant is a British computer scientist and professor at Harvard University. He is widely recognized for introduc...

Machine Learning British Harvard Complexity Theory

9.2 Excellent

4

Jacob Ziv

Jacob Ziv was an Israeli electrical engineer and professor at the Technion who revolutionized digital data storage and t...

Israeli Compression Information Theory Algorithms

9.2 Excellent

5

Abraham Lempel

Abraham Lempel was an Israeli computer scientist who co-invented the Lempel-Ziv (LZ) family of lossless data compression...

Israeli Compression Information Theory Algorithms

9.2 Excellent

6

Robert Gallager

Robert G. Gallager is an American electrical engineer and professor at the Massachusetts Institute of Technology. In his...

American Networking Mit Information Theory

9.1 Excellent

7

David Silver

David Silver is a British computer scientist and a principal research scientist at Google DeepMind. He is known for his...

AI British Reinforcement Learning Deepmind

9.0 Excellent

8

Daphne Koller

Daphne Koller is an Israeli-American computer scientist and former professor of computer science at Stanford University....

Machine Learning Coursera Stanford Israeli American

8.9 Great

9

Thomas Cover

Thomas M. Cover (1938–2012) was a longtime professor at Stanford University in electrical engineering and statistics. Wi...

American Textbook Stanford Information Theory

8.8 Great

10

Bernhard Scholkopf

Bernhard Schölkopf is a German computer scientist and director at the Max Planck Institute for Intelligent Systems in Tü...

German Machine Learning Max Planck Svm

8.7 Great

11

Peter O'Hearn

Peter O'Hearn is a British computer scientist at University College London and Meta who, with John Reynolds and others,...

Meta British Verification Formal Methods

8.7 Great

12

Simon Peyton Jones

Simon Peyton Jones is a British computer scientist who spent over two decades as a principal researcher at Microsoft Res...

Microsoft British Functional Programming Compilers

8.6 Great

13

Philip Wadler

Philip Wadler is a professor of theoretical computer science at the University of Edinburgh. He is a co-designer of the...

Type Theory British Functional Programming Haskell

8.5 Great

14

Lloyd Trefethen

Lloyd N. Trefethen is a British numerical analyst and professor at the University of Oxford. He is known for his work in...

Numerical Analysis British Oxford Approximation

8.5 Great

15

Clifford Cocks

Clifford Cocks is a British mathematician who worked at GCHQ, the UK's signals intelligence agency. He independently inv...

Cryptography British Rsa Independent Gchq

8.4 Great

16

Aaron Roth

Aaron Roth is a computer scientist and the Raj and Neera Singh Professor at the University of Pennsylvania. His primary...

American Machine Learning Upenn Fairness

8.1 Great

17

Dieter Fox

Dieter Fox is a German-American computer scientist and professor at the University of Washington. He is known for probab...

Washington Machine Learning Robotics German American

8.0 Great

18

Peter Bartlett

Peter Bartlett is an Australian-American computer scientist and a professor at the University of California, Berkeley. H...

Machine Learning Neural Networks Berkeley Australian American

8.0 Great

19

Francis Bach

Francis Bach is a prominent French machine learning researcher who leads the Sierra project-team at INRIA Paris and the...

French Optimization Machine Learning Inria

8.0 Great

20

Max Welling

Max Welling is a Dutch computer scientist specializing in machine learning. He is a research professor at the University...

Machine Learning Dutch Amsterdam Probabilistic Models

7.9 Good