27 citations · 32 across the 3 of their papers we have counts for
6 papers
A Farewell to Arms: Sequential Reward Maximization on a Budget with a Giving Up Option
P Sharoff, Nishant A. Mehta, Ravi Ganti
We consider a sequential decision-making problem where an agent can take one action at a time and each action has a stochastic temporal extent, i.e., a new action cannot be taken u…
Thompson Sampling for Dynamic Pricing
Ravi Ganti, Matyas Sustik, Quoc Tran +1
In this paper we apply active learning algorithms for dynamic pricing in a prominent e-commerce website. Dynamic pricing involves changing the price of items on a regular basis, an…
Active Algorithms For Preference Learning Problems with Multiple Populations
Aniruddha Bhargava, Ravi Ganti, Robert Nowak
In this paper we model the problem of learning preferences of a population as an active learning problem. We propose an algorithm can adaptively choose pairs of items to show to us…
Learning Single Index Models in High Dimensions
Ravi Ganti, Nikhil Rao, Rebecca M. Willett +1
Single Index Models (SIMs) are simple yet flexible semi-parametric models for classification and regression. Response variables are modeled as a nonlinear, monotonic function of a…
Active Model Aggregation via Stochastic Mirror Descent
Ravi Ganti
We consider the problem of learning convex aggregation of models, that is as good as the best convex aggregation, for the binary classification problem. Working in the stream based…
Sparse Linear Regression With Missing Data
Ravi Ganti, Rebecca M. Willett
This paper proposes a fast and accurate method for sparse regression in the presence of missing data. The underlying statistical model encapsulates the low-dimensional structure of…