932 citations · 1.7k across the 10 of their papers we have counts for
10 papers
Can RBMs be trained with zero step contrastive divergence?
Charles K. Fisher
Restricted Boltzmann Machines (RBMs) are probabilistic generative models that can be trained by maximum likelihood in principle, but are usually trained by an approximate algorithm…
A high-bias, low-variance introduction to Machine Learning for physicists
Pankaj Mehta, Marin Bukov, Ching-Hao Wang +4
Machine Learning (ML) is one of the most exciting and dynamic areas of modern research and application. The purpose of this review is to provide an introduction to the core concept…
An analytically tractable model for community ecology with many species
Benjamin Dickens, Charles K. Fisher, Pankaj Mehta
A fundamental problem in community ecology is to understand how ecological processes such as selection, drift, and immigration give rise to observed patterns in species composition…
Habitat Fluctuations Drive Species Covariation in the Human Microbiota
Charles K. Fisher, Thierry Mora, Aleksandra M. Walczak
Two species with similar resource requirements respond in a characteristic way to variations in their habitat -- their abundances rise and fall in concert. We use this idea to lear…
Bayesian feature selection with strongly-regularizing priors maps to the Ising Model
Charles K. Fisher, Pankaj Mehta
Identifying small subsets of features that are relevant for prediction and/or classification tasks is a central problem in machine learning and statistics. The feature selection ta…
Variational Pseudolikelihood for Regularized Ising Inference
Charles K. Fisher
I propose a variational approach to maximum pseudolikelihood inference of the Ising model. The variational algorithm is more computationally efficient, and does a better job predic…
Fast Bayesian Feature Selection for High Dimensional Linear Regression in Genomics via the Ising Approximation
Charles K. Fisher, Pankaj Mehta
Feature selection, identifying a subset of variables that are relevant for predicting a response, is an important and challenging component of many methods in statistics and machin…
Thermodynamics of statistical inference by cells
Alex H. Lang, Charles K. Fisher, Thierry Mora +1
The deep connection between thermodynamics, computation, and information is now well established both theoretically and experimentally. Here, we extend these ideas to show that the…
Identifying Keystone Species in the Human Gut Microbiome from Metagenomic Timeseries using Sparse Linear Regression
Charles K. Fisher, Pankaj Mehta
Human associated microbial communities exert tremendous influence over human health and disease. With modern metagenomic sequencing methods it is possible to follow the relative ab…
A phase transition between the niche and neutral regimes in ecology
Charles K. Fisher, Pankaj Mehta
An ongoing debate in ecology concerns the impacts of ecological drift and selection on community assembly. Here, we show that there is a sharp phase transition in diverse ecologica…