Divya Padmanabhan

According to our database, Divya Padmanabhan authored at least 16 papers between 2005 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Extremal Probability Bounds in Combinatorial Optimization.

Divya Padmanabhan, Selin Damla Ahipasaoglu, Arjun Kodagehalli Ramachandra, Karthik Natarajan

SIAM J. Optim., December, 2022

Dominant strategy truthful, deterministic multi-armed bandit mechanisms with logarithmic regret for sponsored search auctions.

Divya Padmanabhan, Satyanath Bhat, Prabuchandran K. J., Shirish K. Shevade, Y. Narahari

Appl. Intell., 2022

Admission Control in the Presence of Arrival Forecasts with Blocking-Based Policy Optimization.

Karthyek Murthy, Divya Padmanabhan, Satyanath Bhat

Proceedings of the Winter Simulation Conference, 2022

2021

Tree Bounds for Sums of Bernoulli Random Variables: A Linear Optimization Approach.

Divya Padmanabhan, Karthik Natarajan

INFORMS J. Optim., January, 2021

Exploiting partial correlations in distributionally robust optimization.

Divya Padmanabhan, Karthik Natarajan, Karthyek Murthy

Math. Program., 2021

2020

Correlation Robust Influence Maximization.

Louis Chen, Divya Padmanabhan, Chee Chin Lim, Karthik Natarajan

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Odeto: Online Class Toolkit: A framework to co-create and organize online design education.

Deepika Tiwari, Divya Padmanabhan, Jonathan Sawian, Raaghavi, Richa Agrawal

Proceedings of the IndiaHCI 2020: 11th Indian Conference on Human-Computer Interaction, 2020

2017

Multi-Label Classification from Multiple Noisy Sources Using Topic Models.

Divya Padmanabhan, Satyanath Bhat, Shirish K. Shevade, Y. Narahari

Inf., 2017

A Dominant Strategy Truthful, Deterministic Multi-Armed Bandit Mechanism with Logarithmic Regret.

Divya Padmanabhan, Satyanath Bhat, Prabuchandran K. J., Shirish K. Shevade, Y. Narahari

Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

Theoretical Models for Learning from Multiple, Heterogenous and Strategic Agents.

Divya Padmanabhan

Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

2016

Topic Model Based Multi-Label Classification from the Crowd.

Divya Padmanabhan, Satyanath Bhat, Shirish K. Shevade, Y. Narahari

CoRR, 2016

A Truthful Mechanism with Biparameter Learning for Online Crowdsourcing.

Satyanath Bhat, Divya Padmanabhan, Shweta Jain, Y. Narahari

CoRR, 2016

A Robust UCB scheme for active learning in regression from strategic crowds.

Divya Padmanabhan, Satyanath Bhat, Dinesh Garg, Shirish K. Shevade, Y. Narahari

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Topic Model Based Multi-Label Classification.

Divya Padmanabhan, Satyanath Bhat, Shirish K. Shevade, Y. Narahari

Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

A Truthful Mechanism with Biparameter Learning for Online Crowdsourcing: (Extended Abstract).

Satyanath Bhat, Divya Padmanabhan, Shweta Jain, Yadati Narahari

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

2005

WICER: A Weighted Inter-Cluster Edge Ranking for Clustered Graphs.

Divya Padmanabhan, Prasanna Kumar Desikan, Jaideep Srivastava, Kashif Riaz

Proceedings of the 2005 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2005), 2005