2 citations · 4 across the 4 of their papers we have counts for
4 papers
Bregman-Wasserstein divergence: geometry and applications
Amanjit Singh Kainth, Cale Rankin, Ting-Kam Leonard Wong
The Bregman-Wasserstein divergence is the optimal transport cost when the underlying cost function is given by a Bregman divergence, and arises naturally in fields such as statisti…
Conformal Mirror Descent with Logarithmic Divergences
Amanjit Singh Kainth, Ting-Kam Leonard Wong, Frank Rudzicz
The logarithmic divergence is an extension of the Bregman divergence motivated by optimal transport and a generalized convex duality, and satisfies many remarkable properties. Usin…
Differentiable Greedy Networks
Thomas Powers, Rasool Fakoor, Siamak Shakeri +4
Optimal selection of a subset of items from a given set is a hard problem that requires combinatorial optimization. In this paper, we propose a subset selection algorithm that is t…
Direct optimization of F-measure for retrieval-based personal question answering
Rasool Fakoor, Amanjit Kainth, Siamak Shakeri +3
Recent advances in spoken language technologies and the introduction of many customer facing products, have given rise to a wide customer reliance on smart personal assistants for…