2 citations · 2 across the 3 of their papers we have counts for
5 papers
Sparse Optimization for Unsupervised Extractive Summarization of Long Documents with the Frank-Wolfe Algorithm
Alicia Y. Tsai, Laurent El Ghaoui
We address the problem of unsupervised extractive document summarization, especially for long documents. We model the unsupervised problem as a sparse auto-regression one and appro…
Style Control for Schema-Guided Natural Language Generation
Alicia Y. Tsai, Shereen Oraby, Vittorio Perera +5
Natural Language Generation (NLG) for task-oriented dialogue systems focuses on communicating specific content accurately, fluently, and coherently. While these attributes are cruc…
Text Analytics for Resilience-Enabled Extreme Events Reconnaissance
Alicia Y. Tsai, Selim Gunay, Minjune Hwang +4
Post-hazard reconnaissance for natural disasters (e.g., earthquakes) is important for understanding the performance of the built environment, speeding up the recovery, enhancing re…
Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization
Geoffrey Négiar, Gideon Dresdner, Alicia Tsai +4
We propose a novel Stochastic Frank-Wolfe (a.k.a. conditional gradient) algorithm for constrained smooth finite-sum minimization with a generalized linear prediction/structure. Thi…
Implicit Deep Learning
Laurent El Ghaoui, Fangda Gu, Bertrand Travacca +2
Implicit deep learning prediction rules generalize the recursive rules of feedforward neural networks. Such rules are based on the solution of a fixed-point equation involving a si…