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Prabuchandran K. J.

4 papers hereh-index 328 citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.AI1
  • stat.AP1

identity via Semantic Scholar / OpenAlex

activity
20172023
most citedChange Point Detection for Compositional Multivariate Data

3 citations · 3 across the 3 of their papers we have counts for

collaborators

4 papers

cs.LG2023

Practical First-Order Bayesian Optimization Algorithms

Utkarsh Prakash, Aryan Chollera, Kushagra Khatwani +2

First Order Bayesian Optimization (FOBO) is a sample efficient sequential approach to find the global maxima of an expensive-to-evaluate black-box objective function by suitably qu…

cs.LG2021

Neural Network Compatible Off-Policy Natural Actor-Critic Algorithm

Raghuram Bharadwaj Diddigi, Prateek Jain, Prabuchandran K. J. +1

Learning optimal behavior from existing data is one of the most important problems in Reinforcement Learning (RL). This is known as "off-policy control" in RL where an agent's obje…

stat.AP2019★ 3 cited

Change Point Detection for Compositional Multivariate Data

Prabuchandran K. J., Nitin Singh, Pankaj Dayama +1

Change point detection algorithms have numerous applications in fields of scientific and economic importance. We consider the problem of change point detection on compositional mul…

cs.AI2017

Novel Sensor Scheduling Scheme for Intruder Tracking in Energy Efficient Sensor Networks

Raghuram Bharadwaj Diddigi, Prabuchandran K. J., Shalabh Bhatnagar

We consider the problem of tracking an intruder using a network of wireless sensors. For tracking the intruder at each instant, the optimal number and the right configuration of se…

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