184 citations · 779 across the 55 of their papers we have counts for
8 papers · 1 filter
Session-Aware Query Auto-completion using Extreme Multi-label Ranking
Nishant Yadav, Rajat Sen, Daniel N. Hill +2
Query auto-completion (QAC) is a fundamental feature in search engines where the task is to suggest plausible completions of a prefix typed in the search bar. Previous queries in t…
Recovery of sparse linear classifiers from mixture of responses
Venkata Gandikota, Arya Mazumdar, Soumyabrata Pal
In the problem of learning a mixture of linear classifiers, the aim is to learn a collection of hyperplanes from a sequence of binary responses. Each response is a result of queryi…
Recovery of Sparse Signals from a Mixture of Linear Samples
Arya Mazumdar, Soumyabrata Pal
Mixture of linear regressions is a popular learning theoretic model that is used widely to represent heterogeneous data. In the simplest form, this model assumes that the labels ar…
Distributed Newton Can Communicate Less and Resist Byzantine Workers
Avishek Ghosh, Raj Kumar Maity, Arya Mazumdar
We develop a distributed second order optimization algorithm that is communication-efficient as well as robust against Byzantine failures of the worker machines. We propose COMRADE…
Multilabel Classification by Hierarchical Partitioning and Data-dependent Grouping
Shashanka Ubaru, Sanjeeb Dash, Arya Mazumdar +1
In modern multilabel classification problems, each data instance belongs to a small number of classes from a large set of classes. In other words, these problems involve learning v…
Reliable Distributed Clustering with Redundant Data Assignment
Venkata Gandikota, Arya Mazumdar, Ankit Singh Rawat
In this paper, we present distributed generalized clustering algorithms that can handle large scale data across multiple machines in spite of straggling or unreliable machines. We…