Algorithms in Learning Theory: ALT 2020

Trustworthy Online Controlled Experiments

A Practical Guide to A/B Testing

Kohavi, Ron
Tang, Diane
Xu, Ya
Published: July 2020

Cracking the Digital Ceiling

Frieze, Carol
Quesenberry, Jeria L.
Published: October 2019

Network Flow Algorithms

Williamson, David P.
Published: September 2019

Model-Based Clustering and Classification for Data Science

With Applications in R

Bouveyron, Charles
Celeux, Gilles
Murphy, T. Brendan
(+ 1 other)
Published: August 2019

Statistical Modelling by Exponential Families

Sundberg, Rolf
Published: August 2019

An Invitation to Applied Category Theory

Seven Sketches in Compositionality

Fong, Brendan
Spivak, David I.
Published: July 2019

Variational Bayesian Learning Theory

Nakajima, Shinichi
Watanabe, Kazuho
Sugiyama, Masashi
Published: July 2019

Applied Stochastic Differential Equations

Särkkä, Simo
Solin, Arno
Published: May 2019

Computational Bayesian Statistics

An Introduction

Amaral Turkman, M. Antónia
Paulino, Carlos Daniel
Müller, Peter
Published: February 2019

Kernelization

Theory of Parameterized Preprocessing

Fomin, Fedor V.
Lokshtanov, Daniel
Saurabh, Saket
(+ 1 other)
Published: January 2019

Geometric and Topological Inference

Boissonnat, Jean-Daniel
Chazal, Frédéric
Yvinec, Mariette
Published: November 2018

Predictive Statistics

Analysis and Inference beyond Models

Clarke, Bertrand S.
Clarke, Jennifer L.
Published: April 2018

Probability on Graphs

Random Processes on Graphs and Lattices

Grimmett, Geoffrey
Published: January 2018
2nd Edition

Fundamentals of Nonparametric Bayesian Inference

Ghosal, Subhashis
van der Vaart, Aad
Published: June 2017

Twenty Lectures on Algorithmic Game Theory

Roughgarden, Tim
Published: September 2016

Mathematical Foundations of Infinite-Dimensional Statistical Models

Giné, Evarist
Nickl, Richard
Published: February 2016