Gray, Alexander G.

30 publications

AAAI 2025 Neural Reasoning Networks: Efficient Interpretable Neural Networks with Automatic Textual Explanations Stephen Carrow, Kyle Erwin, Olga Vilenskaia, Parikshit Ram, Tim Klinger, Naweed Khan, Ndivhuwo Makondo, Alexander G. Gray

NeurIPS 2025 Transformers Learn Faster with Semantic Focus Parikshit Ram, Kenneth L. Clarkson, Tim Klinger, Shashanka Ubaru, Alexander G. Gray

IJCAI 2024 What Makes Models Compositional? a Theoretical View Parikshit Ram, Tim Klinger, Alexander G. Gray

IJCAI 2023 Approximate Inference in Logical Credal Networks Radu Marinescu, Haifeng Qian, Alexander G. Gray, Debarun Bhattacharjya, Francisco Barahona, Tian Gao, Ryan Riegel

NeurIPS 2023 Credal Marginal MAP Radu Marinescu, Debarun Bhattacharjya, Junkyu Lee, Fabio Cozman, Alexander G. Gray

NeurIPS 2022 Logical Credal Networks Radu Marinescu, Haifeng Qian, Alexander G. Gray, Debarun Bhattacharjya, Francisco Barahona, Tian Gao, Ryan Riegel, Pravinda Sahu

AAAI 2022 Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks Prithviraj Sen, Breno W. S. R. de Carvalho, Ryan Riegel, Alexander G. Gray

AAAI 2021 A Semantic Parsing and Reasoning-Based Approach to Knowledge Base Question Answering Ibrahim Abdelaziz, Srinivas Ravishankar, Pavan Kapanipathi, Salim Roukos, Alexander G. Gray

ICMLW 2021 Leveraging Theoretical Tradeoffs in Hyperparameter Selection for Improved Empirical Performance Parikshit Ram, Alexander G. Gray, Horst Samulowitz

AAAI 2020 An ADMM Based Framework for AutoML Pipeline Configuration Sijia Liu, Parikshit Ram, Deepak Vijaykeerthy, Djallel Bouneffouf, Gregory Bramble, Horst Samulowitz, Dakuo Wang, Andrew Conn, Alexander G. Gray

UAI 2013 Building Bridges: Viewing Active Learning from the Multi-Armed Bandit Lens Ravi Ganti, Alexander G. Gray

MLOSS 2013 MLPACK: A Scalable C++ Machine Learning Library Ryan R. Curtin, James R. Cline, N. P. Slagle, William B. March, Parikshit Ram, Nishant A. Mehta, Alexander G. Gray

NeurIPS 2012 Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL Nishant Mehta, Dongryeol Lee, Alexander G. Gray

ICML 2012 Stochastic Smoothing for Nonsmooth Minimizations: Accelerating SGD by Exploiting Structure Hua Ouyang, Alexander G. Gray

NeurIPS 2009 Linear-Time Algorithms for Pairwise Statistical Problems Parikshit Ram, Dongryeol Lee, William March, Alexander G. Gray

NeurIPS 2009 Rank-Approximate Nearest Neighbor Search: Retaining Meaning and Speed in High Dimensions Parikshit Ram, Dongryeol Lee, Hua Ouyang, Alexander G. Gray

NeurIPS 2009 Submanifold Density Estimation Arkadas Ozakin, Alexander G. Gray

NeurIPS 2008 Fast High-Dimensional Kernel Summations Using the Monte Carlo Multipole Method Dongryeol Lee, Alexander G. Gray

ICML 2008 Learning Dissimilarities by Ranking: From SDP to QP Hua Ouyang, Alexander G. Gray

NeurIPS 2008 QUIC-SVD: Fast SVD Using Cosine Trees Michael P. Holmes, Jr. Isbell, Charles Lee, Alexander G. Gray

UAI 2007 Fast Nonparametric Conditional Density Estimation Michael P. Holmes, Alexander G. Gray, Charles L. Isbell Jr.

NeurIPS 2007 Ultrafast Monte Carlo for Statistical Summations Charles L. Isbell, Michael P. Holmes, Alexander G. Gray

UAI 2006 Faster Gaussian Summation: Theory and Experiment Dongryeol Lee, Alexander G. Gray

NeurIPS 2005 Dual-Tree Fast Gauss Transforms Dongryeol Lee, Andrew W. Moore, Alexander G. Gray

NeurIPS 2004 An Investigation of Practical Approximate Nearest Neighbor Algorithms Ting Liu, Andrew W. Moore, Ke Yang, Alexander G. Gray

AISTATS 2003 Rapid Evaluation of Multiple Density Models Alexander G. Gray, Andrew W. Moore

NeurIPS 2002 Automatic Derivation of Statistical Algorithms: The EM Family and Beyond Bernd Fischer, Johann Schumann, Wray Buntine, Alexander G. Gray

NeurIPS 2000 `n-Body' Problems in Statistical Learning Alexander G. Gray, Andrew W. Moore

AAAI 1999 An Integrated System for Multi-Rover Scientific Exploration Tara A. Estlin, Alexander G. Gray, Tobias Mann, Gregg R. Rabideau, Rebecca Castaño, Steve A. Chien, Eric Mjolsness

ICML 1995 Retrofitting Decision Tree Classifiers Using Kernel Density Estimation Padhraic Smyth, Alexander G. Gray, Usama M. Fayyad