6 citations · 9 across the 6 of their papers we have counts for
10 papers · 1 filter
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…
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…
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…
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…
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…
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…