algorithms Archives - Two Sigma

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Article Spotlight

Two Sigma Leaders’ Advice for Interns, Part 1

Our co-CEO, Chief People Officer, and Chief Innovation Officer share perspectives for those just starting out.

Insights by Two Sigma

July 2, 2025
Popular Article

Odysseus to AI: Matt Greenwood on the Dev Interrupted Podcast

Matt Greenwood, Two Sigma’s Chief Innovation Officer, joins the Dev Interrupted podcast to share perspectives on building for the long term, AI in the investment process, and fostering a thriving engineering culture.

Insights by Two Sigma

Updated on May 27, 2025

Tag: algorithms

Data Science

Gradient Sparsification for Communication-Efficient Distributed Optimization

Research by Two Sigma

Updated on November 27, 2018
Data Science

Graph Oracle Models, Lower Bounds, and Gaps for Parallel Stochastic Optimization

Research by Two Sigma

Updated on November 27, 2018
Data Science

Sparse PCA from Sparse Linear Regression

Research by Two Sigma

Updated on November 27, 2018
Data Science

MiSoSouP: Extracting the Most “Flavor” from a Dataset

Insights by Two Sigma

Updated on October 25, 2018
Data Science

MiSoSouP: Mining Interesting Subgroups with Sampling and Pseudodimension

Research by Two Sigma

Updated on July 24, 2018
Data Science

Learning and Memorization

Research

Updated on June 29, 2018
Data Science

ICML 2017: A Review of Deep Learning Papers, Talks, and Tutorials

Insights by Two Sigma

Updated on October 10, 2017
Data Science

JSM 2017 Experiences

Insights

Updated on October 4, 2017
Policy, Work & Careers

David Siegel on Innovation, Machine Learning, and the Future of Work

Insights by Two Sigma

Updated on September 26, 2017
Data Science

TRIEST: Counting Local and Global Triangles in Fully-Dynamic Streams with Fixed Memory Size

Research

Updated on July 18, 2017
Data Science, Engineering

A Workaround for Non-Determinism in TensorFlow

Insights by Two Sigma

Updated on May 24, 2017
Data Science

Rademacher Averages: Theory and Practice

Research

Updated on April 7, 2017

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Hypothesizing is nice, but gathering evidence is better.