Divya Padmanabhan

Publication Activity (10 Years)

Years Active: 2005-2022
Publications (10 Years): 18

Top Topics

Multi Armed Bandits

Sponsored Search Auctions

Influence Maximization

Active Learning

Top Venues

Publications

Karthyek Murthy, Divya Padmanabhan, Satyanath Bhat
Admission Control in the Presence of Arrival Forecasts with Blocking-Based Policy Optimization. WSC (2022)
Divya Padmanabhan, Selin Damla Ahipasaoglu, Arjun Kodagehalli Ramachandra, Karthik Natarajan
Extremal Probability Bounds in Combinatorial Optimization. SIAM J. Optim. 32 (4) (2022)
Divya Padmanabhan, Satyanath Bhat, Prabuchandran K. J., Shirish K. Shevade, Y. Narahari
Dominant strategy truthful, deterministic multi-armed bandit mechanisms with logarithmic regret for sponsored search auctions. Appl. Intell. 52 (3) (2022)
Divya Padmanabhan, Karthik Natarajan
Tree Bounds for Sums of Bernoulli Random Variables: A Linear Optimization Approach. INFORMS J. Optim. 3 (1) (2021)
Divya Padmanabhan, Karthik Natarajan, Karthyek Murthy
Exploiting partial correlations in distributionally robust optimization. Math. Program. 186 (1) (2021)
Louis Chen, Divya Padmanabhan, Chee Chin Lim, Karthik Natarajan
Correlation Robust Influence Maximization. CoRR (2020)
Deepika Tiwari, Divya Padmanabhan, Jonathan Sawian, Raaghavi, Richa Agrawal
Odeto: Online Class Toolkit: A framework to co-create and organize online design education. IndiaHCI (2020)
Louis Chen, Divya Padmanabhan, Chee Chin Lim, Karthik Natarajan
Correlation Robust Influence Maximization. NeurIPS (2020)
Divya Padmanabhan, Satyanath Bhat, Prabuchandran K. J., Shirish K. Shevade, Y. Narahari
A Dominant Strategy Truthful, Deterministic Multi-Armed Bandit Mechanism with Logarithmic Regret. CoRR (2017)
Divya Padmanabhan, Satyanath Bhat, Prabuchandran K. J., Shirish K. Shevade, Y. Narahari
A Dominant Strategy Truthful, Deterministic Multi-Armed Bandit Mechanism with Logarithmic Regret. AAMAS (2017)
Divya Padmanabhan, Satyanath Bhat, Shirish K. Shevade, Y. Narahari
Multi-Label Classification from Multiple Noisy Sources Using Topic Models. Inf. 8 (2) (2017)
Divya Padmanabhan
Theoretical Models for Learning from Multiple, Heterogenous and Strategic Agents. AAMAS (2017)
Divya Padmanabhan, Satyanath Bhat, Dinesh Garg, Shirish K. Shevade, Y. Narahari
A Robust UCB Scheme for Active Learning in Regression from Strategic Crowds. CoRR (2016)
Divya Padmanabhan, Satyanath Bhat, Shirish K. Shevade, Y. Narahari
Topic Model Based Multi-Label Classification from the Crowd. CoRR (2016)
Divya Padmanabhan, Satyanath Bhat, Shirish K. Shevade, Y. Narahari
Topic Model Based Multi-Label Classification. ICTAI (2016)
Divya Padmanabhan, Satyanath Bhat, Dinesh Garg, Shirish K. Shevade, Y. Narahari
A Robust UCB scheme for active learning in regression from strategic crowds. IJCNN (2016)
Satyanath Bhat, Divya Padmanabhan, Shweta Jain, Yadati Narahari
A Truthful Mechanism with Biparameter Learning for Online Crowdsourcing: (Extended Abstract). AAMAS (2016)
Satyanath Bhat, Divya Padmanabhan, Shweta Jain, Y. Narahari
A Truthful Mechanism with Biparameter Learning for Online Crowdsourcing. CoRR (2016)
Divya Padmanabhan, Prasanna Kumar Desikan, Jaideep Srivastava, Kashif Riaz
WICER: A Weighted Inter-Cluster Edge Ranking for Clustered Graphs. Web Intelligence (2005)