173 citations · 204 across the 6 of their papers we have counts for
5 papers · 1 filter
Budget-Constrained Bounds for Mini-Batch Estimation of Optimal Transport
David Alvarez-Melis, Nicolò Fusi, Lester Mackey +1
Optimal Transport (OT) is a fundamental tool for comparing probability distributions, but its exact computation remains prohibitive for large datasets. In this work, we introduce n…
Online Learning with Optimism and Delay
Genevieve Flaspohler, Francesco Orabona, Judah Cohen +4
Inspired by the demands of real-time climate and weather forecasting, we develop optimistic online learning algorithms that require no parameter tuning and have optimal regret guar…
Model-specific Data Subsampling with Influence Functions
Anant Raj, Cameron Musco, Lester Mackey +1
Model selection requires repeatedly evaluating models on a given dataset and measuring their relative performances. In modern applications of machine learning, the models being con…
Teacher-Student Compression with Generative Adversarial Networks
Ruishan Liu, Nicolo Fusi, Lester Mackey
More accurate machine learning models often demand more computation and memory at test time, making them difficult to deploy on CPU- or memory-constrained devices. Teacher-student…
Feature-Weighted Linear Stacking
Joseph Sill, Gabor Takacs, Lester Mackey +1
Ensemble methods, such as stacking, are designed to boost predictive accuracy by blending the predictions of multiple machine learning models. Recent work has shown that the use of…