Search Results for author: Dan Tu

Found 2 papers, 2 papers with code

Bringing Stories Alive: Generating Interactive Fiction Worlds

1 code implementation28 Jan 2020 Prithviraj Ammanabrolu, Wesley Cheung, Dan Tu, William Broniec, Mark O. Riedl

This knowledge graph is then automatically completed utilizing thematic knowledge and used to guide a neural language generation model that fleshes out the rest of the world.

Text Generation

Blended Conditional Gradients: the unconditioning of conditional gradients

2 code implementations18 May 2018 Gábor Braun, Sebastian Pokutta, Dan Tu, Stephen Wright

We present a blended conditional gradient approach for minimizing a smooth convex function over a polytope P, combining the Frank--Wolfe algorithm (also called conditional gradient) with gradient-based steps, different from away steps and pairwise steps, but still achieving linear convergence for strongly convex functions, along with good practical performance.

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