43 citations · 78 across the 20 of their papers we have counts for
8 papers · 1 filter
Cooperative Multi-Agent Reinforcement Learning for Inventory Management
Madhav Khirwar, Karthik S. Gurumoorthy, Ankit Ajit Jain +1
With Reinforcement Learning (RL) for inventory management (IM) being a nascent field of research, approaches tend to be limited to simple, linear environments with implementations…
Joint Probability Estimation Using Tensor Decomposition and Dictionaries
Shaan ul Haque, Ajit Rajwade, Karthik S. Gurumoorthy
In this work, we study non-parametric estimation of joint probabilities of a given set of discrete and continuous random variables from their (empirically estimated) 2D marginals,…
A decision-tree framework to select optimal box-sizes for product shipments
Karthik S. Gurumoorthy, Abhiraj Hinge
In package-handling facilities, boxes of varying sizes are used to ship products. Improperly sized boxes with box dimensions much larger than the product dimensions create wastage…
Individual Treatment Effect Estimation Through Controlled Neural Network Training in Two Stages
Naveen Nair, Karthik S. Gurumoorthy, Dinesh Mandalapu
We develop a Causal-Deep Neural Network (CDNN) model trained in two stages to infer causal impact estimates at an individual unit level. Using only the pre-treatment features in st…
SPOT: A framework for selection of prototypes using optimal transport
Karthik S. Gurumoorthy, Pratik Jawanpuria, Bamdev Mishra
In this work, we develop an optimal transport (OT) based framework to select informative prototypical examples that best represent a given target dataset. Summarizing a given targe…
Recovery of Joint Probability Distribution from one-way marginals: Low rank Tensors and Random Projections
Jian Vora, Karthik S. Gurumoorthy, Ajit Rajwade
Joint probability mass function (PMF) estimation is a fundamental machine learning problem. The number of free parameters scales exponentially with respect to the number of random…
Think out of the package: Recommending package types for e-commerce shipments
Karthik S. Gurumoorthy, Subhajit Sanyal, Vineet Chaoji
Multiple product attributes like dimensions, weight, fragility, liquid content etc. determine the package type used by e-commerce companies to ship products. Sub-optimal package ty…
Streaming Methods for Restricted Strongly Convex Functions with Applications to Prototype Selection
Karthik S. Gurumoorthy, Amit Dhurandhar
In this paper, we show that if the optimization function is restricted-strongly-convex (RSC) and restricted-smooth (RSM) -- a rich subclass of weakly submodular functions -- then a…