Algorithms
Developing efficient algorithms that power faster, smarter, and more reliable computing across diverse applications.
Pruning Game Tree by Rollouts
An algorithm for the T-count
Fast Burst Images Denoising
Provable Tensor Factorization with Missing Data
A New, Deep-Learning Take on Image Recognition
In recent months, we’ve heard a lot about deep neural networks and deep learning—take Project Adam, for example—and the sometimes eye-popping results they can have in addressing longstanding computing problems. The field of image recognition…
A Case for using Trend Filtering over Splines
This talk will be about fast optimization algorithms (specifically specialized ADMM) for a common practical problem – estimating piecewise constant/linear/quadratic fits to time series data. I will first introduce Trend Filtering, a recently proposed tool…
Local Deep Kernel Learning for Efficient Non-linear SVM Prediction
The time taken by an algorithm to make predictions is of critical importance as machine learning transitions to becoming a service available on the cloud. Algorithms that are efficient at prediction can service more calls…
