Thomas Lavastida

18 papers A* 5A 1B 1C 1Journal 7Unranked 3
YearRankTypeTitle / Venue / Authors
2025 B conf
Brief Announcement: Stochastic Parallel Scheduling with Bandit Feedback.
SPAA
Gerdus Benadè, Rathish Das, Thomas Lavastida
2024 A* conf
Binary Search with Distributional Predictions.
NeurIPS
Michael Dinitz, Sungjin Im, Thomas Lavastida, Benjamin Moseley, Aidin Niaparast, Sergei Vassilvitskii
2024 J jnl
Binary Search with Distributional Predictions.
CoRR
Michael Dinitz, Sungjin Im, Thomas Lavastida, Benjamin Moseley, Aidin Niaparast, Sergei Vassilvitskii
2024 A* conf
Controlling Tail Risk in Online Ski-Rental.
SODA
Michael Dinitz, Sungjin Im, Thomas Lavastida, Benjamin Moseley, Sergei Vassilvitskii
2023 J jnl
Controlling Tail Risk in Online Ski-Rental.
CoRR
Michael Dinitz, Sungjin Im, Thomas Lavastida, Benjamin Moseley, Sergei Vassilvitskii
2023 J jnl
From Stream to Pool: Dynamic Pricing Beyond i.i.d. Arrivals.
CoRR
Titing Cui, Su Jia, Thomas Lavastida
2022 A* conf
Algorithms with Prediction Portfolios.
NeurIPS
Michael Dinitz, Sungjin Im, Thomas Lavastida, Benjamin Moseley, Sergei Vassilvitskii
2022 J jnl
Algorithms with Prediction Portfolios.
CoRR
Michael Dinitz, Sungjin Im, Thomas Lavastida, Benjamin Moseley, Sergei Vassilvitskii
2021 — conf
A Scalable Approximation Algorithm for Weighted Longest Common Subsequence.
Euro-Par
Jeremy Buhler, Thomas Lavastida, Kefu Lu, Benjamin Moseley
2021 A* conf
Faster Matchings via Learned Duals.
NeurIPS
Michael Dinitz, Sungjin Im, Thomas Lavastida, Benjamin Moseley, Sergei Vassilvitskii
2021 J jnl
Faster Matchings via Learned Duals.
CoRR
Michael Dinitz, Sungjin Im, Thomas Lavastida, Benjamin Moseley, Sergei Vassilvitskii
2021 A conf
Learnable and Instance-Robust Predictions for Online Matching, Flows and Load Balancing.
ESA
Thomas Lavastida, Benjamin Moseley, R. Ravi, Chenyang Xu
2021 C conf
Scaling Average-Linkage via Sparse Cluster Embeddings.
ACML
Thomas Lavastida, Kefu Lu, Benjamin Moseley, Yuyan Wang
2021 — conf
Using Predicted Weights for Ad Delivery.
ACDA
Thomas Lavastida, Benjamin Moseley, R. Ravi, Chenyang Xu
2021 J jnl
Using Predicted Weights for Ad Delivery.
CoRR
Thomas Lavastida, Benjamin Moseley, R. Ravi, Chenyang Xu
2020 J jnl
Learnable and Instance-Robust Predictions for Online Matching, Flows and Load Balancing.
CoRR
Thomas Lavastida, Benjamin Moseley, R. Ravi, Chenyang Xu
2020 A* conf
Online Scheduling via Learned Weights.
SODA
Silvio Lattanzi, Thomas Lavastida, Benjamin Moseley, Sergei Vassilvitskii
2019 — conf
A Framework for Parallelizing Hierarchical Clustering Methods.
ECML/PKDD (1)
Silvio Lattanzi, Thomas Lavastida, Kefu Lu, Benjamin Moseley