Halappanavar, Mahantesh

7 publications

AAAI 2024 Semi-Supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach Yu Wang, Yuxuan Yin, Karthik Somayaji N. S., Ján Drgona, Malachi Schram, Mahantesh Halappanavar, Frank Liu, Peng Li

NeurIPS 2023 Faster Approximate Subgraph Counts with Privacy Dung Nguyen, Mahantesh Halappanavar, Venkatesh Srinivasan, Anil Vullikanti

AAAI 2022 Gradient-Based Novelty Detection Boosted by Self-Supervised Binary Classification Jingbo Sun, Li Yang, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar, Deliang Fan, Yu Cao

IJCAI 2022 Scalable and Memory-Efficient Algorithms for Controlling Networked Epidemic Processes Using Multiplicative Weights Update Method Prathyush Sambaturu, Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman, Anil Vullikanti

NeurIPS 2021 On the Stochastic Stability of Deep Markov Models Jan Drgona, Sayak Mukherjee, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar

NeurIPS 2012 Feature Clustering for Accelerating Parallel Coordinate Descent Chad Scherrer, Ambuj Tewari, Mahantesh Halappanavar, David Haglin

ICML 2012 Scaling up Coordinate Descent Algorithms for Large ℓ1 Regularization Problems Chad Scherrer, Mahantesh Halappanavar, Ambuj Tewari, David Haglin