The roster

Karen Sparck Jones Inverse document frequency Raj Reddy Continuous speech recognition Takeo Kanade Computer vision: face detection, optical flow, virtualized reality Tom Mitchell ask The Machine Learning textbook Rodney Brooks Behavior-based robotics Peter Norvig ask AI: A Modern Approach (with Russell) Cynthia Dwork Differential privacy Stuart Russell AI: A Modern Approach

John Hopfield Energy-based neural networks Kunihiko Fukushima The neocognitron: ancestor of the CNN Shun'ichi Amari Information geometry Geoffrey Hinton Backprop popularizer Paul Werbos Backpropagation in his 1974 thesis Stephen Boyd Convex optimization: the book and the solvers Jitendra Malik Computer vision: segmentation, perceptual organization Yann LeCun Convolutional networks Jurgen Schmidhuber LSTM lab Ion Stoica Spark and Ray: the compute substrate of modern ML Yoshua Bengio Neural language models Christopher Manning Statistical NLP Leon Bottou Stochastic gradient descent at scale David MacKay Information theory, inference, and learning Sepp Hochreiter LSTM Daphne Koller Probabilistic graphical models Jon Kleinberg ask HITS Risi Kondor ask Group-theoretic and equivariant machine learning Cathy O'Neil ask Weapons of Math Destruction Josh Tenenbaum ask Probabilistic programs as models of the mind Alex Smola ask Kernel machines at scale Rene Vidal ask Generalized PCA Carlos Guestrin ask Distributed ML (GraphLab) Dawn Song AI security and adversarial ML Lek-Heng Lim ask Tensors and multilinear algebra for data science Terence Tao ask Fields Medal Demis Hassabis DeepMind Raquel Urtasun ask Perception for self-driving Pieter Abbeel Robot learning Jure Leskovec ask Graph machine learning: node2vec, GraphSAGE, the SNAP toolkit Aaron Clauset ask Network science Ross Girshick ask R-CNN lineage of object detection Anima Anandkumar ask Tensor methods for ML Timnit Gebru ask Datasheets and model cards Alec Radford ask GPT and CLIP: the language-model lineage Ashish Vaswani 'Attention is all you need': the transformer Ilya Sutskever Seq2seq Ian Goodfellow Generative adversarial networks Rediet Abebe ask Algorithms and inequality John Santerre ask The professor. Brings AI to companies

Karl Pearson Correlation, chi-squared William Sealy Gosset 'Student' of the t-test Ronald Fisher Maximum likelihood, ANOVA, randomized experimental design Jerzy Neyman Confidence intervals Abraham Wald Statistical decision theory Andrey Kolmogorov Axioms of probability John Tukey Exploratory data analysis Kiyosi Ito Stochastic calculus George Box 'All models are wrong' C.R. Rao Cramer-Rao bound, Rao-Blackwellization, information geometry David Cox Proportional hazards

Thomas Bayes Conditional probability Pierre-Simon Laplace Bayesian inference in practice Carl Friedrich Gauss Least squares and the normal distribution Charles Babbage Designed the first programmable computer (Analytical Engine) Ada Lovelace The first programmer George Boole Boolean logic underlying all digital computation Florence Nightingale Statistical graphics that changed public health policy Andrei Markov Markov chains

Norbert Wiener Cybernetics Arthur Samuel Checkers program that learned John von Neumann Stored-program computer, game theory, Monte Carlo methods Donald Hebb Hebbian learning: cells that fire together wire together Grace Hopper Compilers Alan Turing Computability, the universal machine, the imitation game, codebreaking Paul Erdos ask The probabilistic method George Dantzig Linear programming and the simplex method Richard Hamming Error-correcting codes Claude Shannon Information theory Herbert Simon Bounded rationality Richard Bellman Dynamic programming Lotfi Zadeh Fuzzy logic and fuzzy sets Walter Pitts The McCulloch-Pitts neuron Allen Newell Symbolic problem solving John McCarthy Coined 'artificial intelligence' Marvin Minsky Frames, society of mind Frank Rosenblatt The perceptron: the first trainable neural classifier John Nash Equilibrium in non-cooperative games Noam Chomsky Formal grammars Rudolf Kalman The Kalman filter Frederick Jelinek Statistical speech recognition Andrew Viterbi The Viterbi algorithm Thomas Cover Information theory David Marr Levels of analysis

Richard Sutton Temporal-difference learning Andrew Barto Reinforcement learning foundations (with Sutton) Chris Watkins Q-learning David Silver AlphaGo and AlphaZero

David Blackwell Rao-Blackwell Hirotugu Akaike AIC Leo Breiman CART, bagging, random forests Grace Wahba Splines Judea Pearl Bayesian networks Vladimir Vapnik VC theory Alexey Chervonenkis Co-inventor of VC dimension and uniform convergence Bradley Efron The bootstrap Jerome Friedman Gradient boosting Peter Bickel Semiparametric efficiency Dimitri Bertsekas ask Dynamic programming and optimal control Donald Rubin Causal inference via potential outcomes Trevor Hastie Generalized additive models Ingrid Daubechies Wavelets that work: compactly supported orthonormal bases Michael I. Jordan Graphical models to modern ML Robert Tibshirani The lasso David Donoho Wavelets John Lafferty ask Conditional random fields Susan Murphy ask Micro-randomized trials Larry Wasserman ask All of Statistics Corinna Cortes ask The soft-margin SVM (with Vapnik) Yoav Freund AdaBoost (with Schapire) Bin Yu Stability as a statistical principle Robert Schapire Boosting: weak learners made strong Andrew Gelman Hierarchical Bayes Robert Nowak ask Active learning Peter Bartlett Statistical learning theory Partha Niyogi ask Manifold learning Bernhard Scholkopf ask Kernel methods systematized Emmanuel Candes Compressed sensing Sayan Mukherjee ask Learning theory Michael Mahoney ask Randomized numerical linear algebra Martin Wainwright ask High-dimensional statistics Cosma Shalizi ask Computational mechanics Nathan Srebro ask Matrix factorization David Blei ask Topic models Rina Foygel Barber ask Conformal prediction

Frances Allen Optimizing compilers Margaret Hamilton Apollo flight software Barbara Liskov Data abstraction Dennis Ritchie C and Unix Leslie Lamport Time in distributed systems Ken Thompson Unix Tim Berners-Lee The World Wide Web Guido van Rossum Python Jeff Dean MapReduce, Bigtable, TensorFlow Linus Torvalds Linux and Git

Edsger Dijkstra Shortest paths Tony Hoare Quicksort Richard Karp 21 NP-complete problems Donald Knuth The Art of Computer Programming Manuel Blum Computational complexity Stephen Cook NP-completeness and the P vs NP question Andrew Yao Communication complexity Leslie Valiant PAC learning: a theory of the learnable Cristopher Moore ask The Nature of Computation