Model Selection via Bilevel Optimization. - Kristin P. Bennett; Jing Hu; Xiaoyun Ji; Gautam Kunapuli; Jong-Shi Pang (IJCNN, 2006)

Bilevel Optimization and Machine Learning. - Kristin P. Bennett; Gautam Kunapuli; Jing Hu; Jong-Shi Pang (WCCI, 2008)

Classification model selection via bilevel programming. - Gautam Kunapuli; Kristin P. Bennett; Jing Hu; Jong-Shi Pang (Optim. Methods Softw., 2008)

On the Global Solution of Linear Programs with Linear Complementarity Constraints. - Jing Hu; John E. Mitchell 001; Jong-Shi Pang; Kristin P. Bennett; Gautam Kunapuli (SIAM J. Optim., 2008)

Learning Parameters for Relational Probabilistic Models with Noisy-Or Combining Rule. - Sriraam Natarajan; Prasad Tadepalli; Gautam Kunapuli; Jude W. Shavlik (ICMLA, 2009)

Knowledge Intensive Learning - Directed vs Undirected SRL Models. - Sriraam Natarajan; Prasad Tadepalli; Gautam Kunapuli; Jude W. Shavlik (MLG/SRL@ILP, 2009)

Multi-Agent Inverse Reinforcement Learning. - Sriraam Natarajan; Gautam Kunapuli; Kshitij Judah; Prasad Tadepalli; Kristian Kersting; Jude W. Shavlik (ICMLA, 2010)

Automating the ILP Setup Task: Converting User Advice about Specific Examples into General Background Knowledge. - Trevor Walker; Ciaran O'Reilly; Gautam Kunapuli; Sriraam Natarajan; Richard Maclin; David Page; Jude W. Shavlik (ILP, 2010)

Online Knowledge-Based Support Vector Machines. - Gautam Kunapuli; Kristin P. Bennett; Amina Shabbeer; Richard Maclin; Jude W. Shavlik (ECML/PKDD (2), 2010)

Integrating knowledge capture and supervised learning through a human-computer interface. - Trevor Walker; Gautam Kunapuli; Noah Larsen; David Page; Jude W. Shavlik (K-CAP, 2011)

Advice Refinement in Knowledge-Based SVMs. - Gautam Kunapuli; Richard Maclin; Jude W. Shavlik (NIPS, 2011)

Mirror Descent for Metric Learning: A Unified Approach. - Gautam Kunapuli; Jude W. Shavlik (ECML/PKDD (1), 2012)

Guiding Autonomous Agents to Better Behaviors through Human Advice. - Gautam Kunapuli; Phillip Odom; Jude W. Shavlik; Sriraam Natarajan (ICDM, 2013)

AR-Boost: Reducing Overfitting by a Robust Data-Driven Regularization Strategy. - Baidya Nath Saha; Gautam Kunapuli; Nilanjan Ray; Joseph A. Maldjian; Sriraam Natarajan (ECML/PKDD (3), 2013)

Learning from Imbalanced Data in Relational Domains: A Soft Margin Approach. - Shuo Yang 004; Tushar Khot; Kristian Kersting; Gautam Kunapuli; Kris Hauser; Sriraam Natarajan (ICDM, 2014)

A graphical model approach to ATLAS-free mining of MRI images. - Chris S. Magnano; Ameet Soni; Sriraam Natarajan; Gautam Kunapuli (SDM, 2014)

Development of a Smart Tutor for a Visual-Aircraft Recognition Task. - Priya Ganapathy; Ion Juvina; Tejaswi Tamminedi; Gautam Kunapuli; Matt Sherwood; Mohd Saif Usmani (HCI (15), 2015)

Neurocognitive Correlates of Learning in a Visual Object Recognition Task. - Ion Juvina; Priya Ganapathy; Matt Sherwood; Mohd Saif Usmani; Gautam Kunapuli; Tejaswi Tamminedi; Nasser H. Kashou (HCI (15), 2015)

Relational Restricted Boltzmann Machines: A Probabilistic Logic Learning Approach. - Navdeep Kaur; Gautam Kunapuli; Tushar Khot; Kristian Kersting; William Cohen; Sriraam Natarajan (ILP, 2017)

On Whom Should I Perform this Lab Test Next? An Active Feature Elicitation Approach. - Sriraam Natarajan; Srijita Das 001; Nandini Ramanan; Gautam Kunapuli; Predrag Radivojac (IJCAI, 2018)

A Decision-Support Tool for Renal Mass Classification. - Gautam Kunapuli; Bino A. Varghese; Priya Ganapathy; Desai Bhushan; Steven Y. Cen; Manju Aron; Inderbir S. Gill; Vinay A. Duddalwar (J. Digit. Imaging, 2018)

Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs. - Mayukh Das; Devendra Singh Dhami; Gautam Kunapuli; Kristian Kersting; Sriraam Natarajan (AAAI, 2019)

Neural Networks for Relational Data. - Navdeep Kaur; Gautam Kunapuli; Saket Joshi; Kristian Kersting; Sriraam Natarajan (ILP, 2019)

Human-Guided Learning of Column Networks: Augmenting Deep Learning with Advice. - Mayukh Das; Yang Yu; Devendra Singh Dhami; Gautam Kunapuli; Sriraam Natarajan (CoRR, 2019)

Knowledge-augmented Column Networks: Guiding Deep Learning with Advice. - Mayukh Das; Devendra Singh Dhami; Yang Yu; Gautam Kunapuli; Sriraam Natarajan (CoRR, 2019)

Predicting Drug-Drug Interactions from Molecular Structure Images. - Devendra Singh Dhami; Gautam Kunapuli; David Page; Sriraam Natarajan (CoRR, 2019)

Non-Parametric Learning of Gaifman Models. - Devendra Singh Dhami; Siwen Yan; Gautam Kunapuli; Sriraam Natarajan (CoRR, 2020)

Knowledge Graph Alignment using String Edit Distance. - Navdeep Kaur; Gautam Kunapuli; Sriraam Natarajan (CoRR, 2020)

Integer Programming for Multi-Robot Planning: A Column Generation Approach. - Naveed Haghani; Jiaoyang Li 001; Sven Koenig; Gautam Kunapuli; Claudio Contardo; Julian Yarkony (CoRR, 2020)

Non-parametric learning of lifted Restricted Boltzmann Machines. - Navdeep Kaur; Gautam Kunapuli; Sriraam Natarajan (Int. J. Approx. Reason., 2020)

Predicting Drug-Drug Interactions from Heterogeneous Data: An Embedding Approach. - Devendra Singh Dhami; Siwen Yan; Gautam Kunapuli; David Page; Sriraam Natarajan (AIME, 2021)

Human-Guided Learning of Column Networks: Knowledge Injection for Relational Deep Learning. - Mayukh Das; Devendra Singh Dhami; Yang Yu; Gautam Kunapuli; Sriraam Natarajan (COMAD/CODS, 2021)

Skill Mastery Measurement and Prediction to Adapt Instruction Strategies. - Priya Ganapathy; Lakshmi Priya Rangaraju; Gautam Kunapuli; Jacob Yadegar (HCI (32), 2021)

Non-parametric Learning of Embeddings for Relational Data Using Gaifman Locality Theorem. - Devendra Singh Dhami; Siwen Yan; Gautam Kunapuli; Sriraam Natarajan (ILP, 2021)

Multi-Robot Routing with Time Windows: A Column Generation Approach. - Naveed Haghani; Jiaoyang Li 001; Sven Koenig; Gautam Kunapuli; Claudio Contardo; Amelia Regan; Julian Yarkony (CoRR, 2021)

Structure learning for relational logistic regression: an ensemble approach. - Nandini Ramanan; Gautam Kunapuli; Tushar Khot; Bahare Fatemi; Seyed Mehran Kazemi; David Poole 001; Kristian Kersting; Sriraam Natarajan (Data Min. Knowl. Discov., 2021)

DocInfer: Document-level Natural Language Inference using Optimal Evidence Selection. - Puneet Mathur; Gautam Kunapuli; Riyaz A. Bhat; Manish Shrivastava 001; Dinesh Manocha; Maneesh Singh 001 (EMNLP, 2022)

Active feature elicitation: An unified framework. - Srijita Das 001; Nandini Ramanan; Gautam Kunapuli; Predrag Radivojac; Sriraam Natarajan (Frontiers Artif. Intell., 2023)