Portfolio item number 1
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Posts by Collection
portfolio
Portfolio item number 2
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publications
A Framework for Parallelizing Hierarchical Clustering Methods
Published in European Conference on Machine Learning (ECML-PKDD), 2019
Online Scheduling via Learned Weights
Published in Symposium on Discrete Algorithms (SODA), 2020
Using Predicted Weights for Ad Delivery
Published in Applied and Computational Discrete Algorithms (ACDA), 2021
Learnable and Instance Robust Predictions for Online Matching, Flows, and Load Balancing
Published in European Symposium on Algorithms (ESA), 2021
A Scalable Approximation Algorithm for Weighted Longest Common Subsequence
Published in International European Conference on Parallel and Distributed Computing (EURO-PAR), 2021
Scaling Average-Linkage via Sparse Cluster Embeddings
Published in Asian Conference on Machine Learning (ACML), 2021
This paper gives a subquadratic algorithm for average-linkage hierarchical clustering on Euclidean data which approximates each merge up to a constant factor.
Faster Matchings via Learned Duals
Published in Neural Information Processing Systems (Neurips), 2021
Accepted for an oral presentation (top 1% of submissions). Download the Arxiv (full) version here
talks
teaching
College Algebra/Trigonometry/Precalculus - Tutor
Tutoring, Louisiana State University, Math Department, 2016
Tutored College Algebra/Trigonometry/Precalculus at LSU from 2013-2016.
Optimization for Business - Instructor
Undergraduate Course, Carnegie Mellon University, Tepper School of Business, 2020