research
∙
03/30/2022
Learning Program Representations for Food Images and Cooking Recipes
In this paper, we are interested in modeling a how-to instructional proc...
share
research
∙
07/16/2021
Near-Optimal Algorithms for Linear Algebra in the Current Matrix Multiplication Time
Currently, in the numerical linear algebra community, it is thought that...
research
∙
11/09/2020
Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra
We create classical (non-quantum) dynamic data structures supporting que...
research
∙
05/13/2020
Testing Positive Semi-Definiteness via Random Submatrices
We study the problem of testing whether a matrix A ∈R^n × n with bounded...
research
∙
03/21/2020
ARDA: Automatic Relational Data Augmentation for Machine Learning
Automatic machine learning () is a family of techniques to automate the ...
research
∙
12/09/2019
Robust and Sample Optimal Algorithms for PSD Low-Rank Approximation
Recently, Musco and Woodruff (FOCS, 2017) showed that given an n × n pos...
research
∙
02/27/2019
