Thomas Lavastida

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Benjamin MoseleyCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Sergei VassilvitskiiGoogleVerified email at google.com
Silvio LattanziResearch Scientist at GoogleVerified email at google.com
Kefu LuWashington and Lee UniversityVerified email at wlu.edu
R RaviCarnegie Mellon UnviersityVerified email at andrew.cmu.edu
Chenyang XuEast China Normal UniversityVerified email at sei.ecnu.edu.cn
Sungjin ImUniversity of California, MercedVerified email at ucmerced.edu
Michael DinitzAssociate Professor, Johns Hopkins UniversityVerified email at cs.jhu.edu
Yuyan WangGoogleVerified email at google.com
Jeremy Buhlerprofessor of computer science, Washington universityVerified email at wustl.edu

Thomas Lavastida

Assistant Professor, Jindal School of Management, University of Texas at Dallas

Verified email at utdallas.edu - Homepage

Algorithms Algorithms with Predictions Machine Learning


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Online Scheduling via Learned Weights S Lattanzi, T Lavastida, B Moseley, S Vassilvitskii Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete …, 2020	197	2020
Learnable and Instance-Robust Predictions for Online Matching, Flows and Load Balancing T Lavastida, B Moseley, R Ravi, C Xu arXiv preprint arXiv:2011.11743, 2020	60	2020
Faster matchings via learned duals M Dinitz, S Im, T Lavastida, B Moseley, S Vassilvitskii Advances in Neural Information Processing Systems 34, 10393-10406, 2021	24	2021
A Framework for Parallelizing Hierarchical Clustering Methods S Lattanzi, T Lavastida, K Lu, B Moseley Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019	24*	2019
Using Predicted Weights for Ad Delivery T Lavastida, B Moseley, R Ravi, C Xu SIAM Conference on Applied and Computational Discrete Algorithms (ACDA21), 21-31, 2021	13	2021
Algorithms with prediction portfolios M Dinitz, S Im, T Lavastida, B Moseley, S Vassilvitskii Advances in neural information processing systems 35, 20273-20286, 2022	8	2022
Scaling Average-Linkage via Sparse Cluster Embeddings T Lavastida, K Lu, B Moseley, Y Wang Asian Conference on Machine Learning, 1429-1444, 2021	3	2021
A scalable approximation algorithm for weighted longest common subsequence J Buhler, T Lavastida, K Lu, B Moseley European Conference on Parallel Processing, 368-384, 2021	1	2021
Controlling Tail Risk in Online Ski-Rental M Dinitz, S Im, T Lavastida, B Moseley, S Vassilvitskii Proceedings of the 2024 Annual ACM-SIAM Symposium on Discrete Algorithms …, 2024		2024
From Stream to Pool: Dynamic Pricing Beyond iid Arrivals T Cui, S Jia, T Lavastida arXiv preprint arXiv:2310.19220, 2023		2023
On Scalable Algorithms and Algorithms with Predictions T Lavastida Carnegie Mellon University, 2022		2022

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