We love to solve hard problems

Sharing ideas is integral to innovation. Whether an idea directly applies to our work or is simply interesting, we voraciously consume cutting-edge research—and contribute thinking of our own.

Browse Research

Data Science, Engineering

A 24x Speedup for Reinforcement Learning with RLlib + Ray

Markets & Economy

Thematic Research: Forecasting Factor Returns

Gradient Sparsification for Communication-Efficient Distributed Optimization

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

Sparse PCA from Sparse Linear Regression

A Secure Cloud with Minimal Provider Trust

Engineering with Open Source

Sundial: Harmonizing Concurrency Control and Caching in a Distributed OLTP Database Management System

The Halite Global AI Programming Competition in Google Cloud for Google Cloud NEXT

MiSoSouP: Mining Interesting Subgroups with Sampling and Pseudodimension

Learning and Memorization

Markets & Economy

Sharpe Ratio: Estimation, Confidence Intervals, and Hypothesis Testing

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