7 citations · 21 across the 11 of their papers we have counts for
13 papers
Stochastic Multi-Armed Bandits with Limited Control Variates
Arun Verma, Manjesh Kumar Hanawal, Arun Rajkumar
Motivated by wireless networks where interference or channel state estimates provide partial insight into throughput, we study a variant of the classical stochastic multi-armed ban…
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…
A Theory of Tournament Representations
Arun Rajkumar, Vishnu Veerathu, Abdul Bakey Mir
Real world tournaments are almost always intransitive. Recent works have noted that parametric models which assume dimensional node representations can effectively model intran…
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…