94 citations · 361 across the 20 of their papers we have counts for
4 papers · 1 filter
A New Greedy Algorithm for Multiple Sparse Regression
Ali Jalali, Sujay Sanghavi
This paper proposes a new algorithm for multiple sparse regression in high dimensions, where the task is to estimate the support and values of several (typically related) sparse ve…
A Lipschitz Exploration-Exploitation Scheme for Bayesian Optimization
Ali Jalali, Javad Azimi, Xiaoli Fern +1
The problem of optimizing unknown costly-to-evaluate functions has been studied for a long time in the context of Bayesian Optimization. Algorithms in this field aim to find the op…
Clustering using Max-norm Constrained Optimization
Ali Jalali, Nathan Srebro
We suggest using the max-norm as a convex surrogate constraint for clustering. We show how this yields a better exact cluster recovery guarantee than previously suggested nuclear-n…
Hybrid Batch Bayesian Optimization
Javad Azimi, Ali Jalali, Xiaoli Fern
Bayesian Optimization aims at optimizing an unknown non-convex/concave function that is costly to evaluate. We are interested in application scenarios where concurrent function eva…