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20172022
most citedInductive Pairwise Ranking: Going Beyond the n log(n) Barrier

6 citations · 9 across the 6 of their papers we have counts for

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10 papers · 1 filter

cs.LG20221 cited

Byzantine Spectral Ranking

Arnhav Datar, Arun Rajkumar, John Augustine

We study the problem of rank aggregation where the goal is to obtain a global ranking by aggregating pair-wise comparisons of voters over a set of items. We consider an adversarial…

cs.LG2022

Explicitising The Implicit Intrepretability of Deep Neural Networks Via Duality

Chandrashekar Lakshminarayanan, Amit Vikram Singh, Arun Rajkumar

Recent work by Lakshminarayanan and Singh [2020] provided a dual view for fully connected deep neural networks (DNNs) with rectified linear units (ReLU). It was shown that (i) the…

cs.LG2021

Sequential Ski Rental Problem

Anant Shah, Arun Rajkumar

The classical 'buy or rent' ski-rental problem was recently considered in the setting where multiple experts (such as Machine Learning algorithms) advice on the length of the ski s…

cs.LG2021

Censored Semi-Bandits for Resource Allocation

Arun Verma, Manjesh K. Hanawal, Arun Rajkumar +1

We consider the problem of sequentially allocating resources in a censored semi-bandits setup, where the learner allocates resources at each step to the arms and observes loss. The…

cs.LG2020

SUPAID: A Rule mining based method for automatic rollout decision aid for supervisors in fleet management systems

Sahil Manchanda, Arun Rajkumar, Simarjot Kaur +1

The decision to rollout a vehicle is critical to fleet management companies as wrong decisions can lead to additional cost of maintenance and failures during journey. With the avai…

cs.LG2019

Censored Semi-Bandits: A Framework for Resource Allocation with Censored Feedback

Arun Verma, Manjesh K. Hanawal, Arun Rajkumar +1

In this paper, we study censored Semi-Bandits, a novel variant of the semi-bandits problem. The learner is assumed to have a fixed amount of resources, which it allocates to the ar…