Search Results for author: Guru Guruganesh

Found 5 papers, 2 papers with code

Margin-Independent Online Multiclass Learning via Convex Geometry

no code implementations NeurIPS 2021 Guru Guruganesh, Allen Liu, Jon Schneider, Joshua Wang

We consider the problem of multi-class classification, where a stream of adversarially chosen queries arrive and must be assigned a label online.

Multi-class Classification

Learning to Bid in Contextual First Price Auctions

no code implementations7 Sep 2021 Ashwinkumar Badanidiyuru, Zhe Feng, Guru Guruganesh

For binary feedback, when the noise distribution $\mathcal{F}$ is known, we propose a bidding algorithm, by using maximum likelihood estimation (MLE) method to achieve at most $\widetilde{O}(\sqrt{\log(d) T})$ regret.

Scalable Hierarchical Agglomerative Clustering

2 code implementations22 Oct 2020 Nicholas Monath, Avinava Dubey, Guru Guruganesh, Manzil Zaheer, Amr Ahmed, Andrew McCallum, Gokhan Mergen, Marc Najork, Mert Terzihan, Bryon Tjanaka, YuAn Wang, Yuchen Wu

The applicability of agglomerative clustering, for inferring both hierarchical and flat clustering, is limited by its scalability.

2D Human Pose Estimation

Cannot find the paper you are looking for? You can Submit a new open access paper.