Thomas Lavastida

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 15

Top Topics

Dynamic Pricing

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Hierarchical Clustering

Top Venues

Publications

Michael Dinitz, Sungjin Im, Thomas Lavastida, Benjamin Moseley, Sergei Vassilvitskii
Controlling Tail Risk in Online Ski-Rental. SODA (2024)
Michael Dinitz, Sungjin Im, Thomas Lavastida, Benjamin Moseley, Sergei Vassilvitskii
Controlling Tail Risk in Online Ski-Rental. CoRR (2023)
Titing Cui, Su Jia, Thomas Lavastida
From Stream to Pool: Dynamic Pricing Beyond i.i.d. Arrivals. CoRR (2023)
Michael Dinitz, Sungjin Im, Thomas Lavastida, Benjamin Moseley, Sergei Vassilvitskii
Algorithms with Prediction Portfolios. CoRR (2022)
Michael Dinitz, Sungjin Im, Thomas Lavastida, Benjamin Moseley, Sergei Vassilvitskii
Algorithms with Prediction Portfolios. NeurIPS (2022)
Thomas Lavastida, Kefu Lu, Benjamin Moseley, Yuyan Wang
Scaling Average-Linkage via Sparse Cluster Embeddings. ACML (2021)
Michael Dinitz, Sungjin Im, Thomas Lavastida, Benjamin Moseley, Sergei Vassilvitskii
Faster Matchings via Learned Duals. CoRR (2021)
Michael Dinitz, Sungjin Im, Thomas Lavastida, Benjamin Moseley, Sergei Vassilvitskii
Faster Matchings via Learned Duals. NeurIPS (2021)
Jeremy Buhler, Thomas Lavastida, Kefu Lu, Benjamin Moseley
A Scalable Approximation Algorithm for Weighted Longest Common Subsequence. Euro-Par (2021)
Thomas Lavastida, Benjamin Moseley, R. Ravi, Chenyang Xu
Learnable and Instance-Robust Predictions for Online Matching, Flows and Load Balancing. ESA (2021)
Thomas Lavastida, Benjamin Moseley, R. Ravi, Chenyang Xu
Using Predicted Weights for Ad Delivery. CoRR (2021)
Thomas Lavastida, Benjamin Moseley, R. Ravi, Chenyang Xu
Using Predicted Weights for Ad Delivery. ACDA (2021)
Thomas Lavastida, Benjamin Moseley, R. Ravi, Chenyang Xu
Learnable and Instance-Robust Predictions for Online Matching, Flows and Load Balancing. CoRR (2020)
Silvio Lattanzi, Thomas Lavastida, Benjamin Moseley, Sergei Vassilvitskii
Online Scheduling via Learned Weights. SODA (2020)
Silvio Lattanzi, Thomas Lavastida, Kefu Lu, Benjamin Moseley
A Framework for Parallelizing Hierarchical Clustering Methods. ECML/PKDD (1) (2019)