Alexander G. Gray
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
46
Venues
18
Active years
1995–2025
Best venue rank
A*
Where they publish
Papers
46 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | 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 |
| 2024 | IJCAI | What Makes Models Compositional? A Theoretical View. | Parikshit Ram, Tim Klinger, Alexander G. Gray |
| 2023 | IJCAI | Approximate Inference in Logical Credal Networks. | Radu Marinescu, Haifeng Qian, Alexander G. Gray, Debarun Bhattacharjya, Francisco Barahona, Tian Gao, Ryan Riegel |
| 2023 | SDM | Toward Theoretical Guidance for Two Common Questions in Practical Cross-Validation based Hyperparameter Selection. | Parikshit Ram, Alexander G. Gray, Horst C. Samulowitz, Gregory Bramble |
| 2022 | AAAI | Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks. | Prithviraj Sen, Breno W. S. R. de Carvalho, Ryan Riegel, Alexander G. Gray |
| 2022 | EMNLP | Logical Neural Networks for Knowledge Base Completion with Embeddings & Rules. | Prithviraj Sen, Breno W. S. R. de Carvalho, Ibrahim Abdelaziz, Pavan Kapanipathi, Salim Roukos, Alexander G. Gray |
| 2022 | NAACL | Zero-shot Entity Linking with Less Data. | G. P. Shrivatsa Bhargav, Dinesh Khandelwal, Saswati Dana, Dinesh Garg, Pavan Kapanipathi, Salim Roukos, Alexander G. Gray, L. Venkata Subramaniam |
| 2021 | AAAI | A Semantic Parsing and Reasoning-Based Approach to Knowledge Base Question Answering. | Ibrahim Abdelaziz, Srinivas Ravishankar, Pavan Kapanipathi, Salim Roukos, Alexander G. Gray |
| 2021 | ACL | LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking. | Hang Jiang, Sairam Gurajada, Qiuhao Lu, Sumit Neelam, Lucian Popa, Prithviraj Sen, Yunyao Li, Alexander G. Gray |
| 2021 | ACL | Leveraging Abstract Meaning Representation for Knowledge Base Question Answering. | Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Salim Roukos, Alexander G. Gray, Ramn Fernandez Astudillo, Maria Chang, Cristina Cornelio, Saswati Dana, Achille Fokoue, Dinesh Garg, Alfio Gliozzo, Sairam Gurajada, Hima Karanam, Naweed Khan, Dinesh Khandelwal, Young-Suk Lee, Yunyao Li, Francois P. S. Luus, Ndivhuwo Makondo, Nandana Mihindukulasooriya, Tahira Naseem, Sumit Neelam, Lucian Popa, Revanth Gangi Reddy, Ryan Riegel, Gaetano Rossiello, Udit Sharma, G. P. Shrivatsa Bhargav, Mo Yu |
| 2021 | ACL | A Semantics-aware Transformer Model of Relation Linking for Knowledge Base Question Answering. | Tahira Naseem, Srinivas Ravishankar, Nandana Mihindukulasooriya, Ibrahim Abdelaziz, Young-Suk Lee, Pavan Kapanipathi, Salim Roukos, Alfio Gliozzo, Alexander G. Gray |
| 2021 | ICASSP | Training Logical Neural Networks by Primal-Dual Methods for Neuro-Symbolic Reasoning. | Songtao Lu, Naweed Khan, Ismail Yunus Akhalwaya, Ryan Riegel, Lior Horesh, Alexander G. Gray |
| 2020 | AAAI | 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 |
| 2020 | IJCNN | Survey on Automated End-to-End Data Science? | Djallel Bouneffouf, Charu C. Aggarwal, Thanh Hoang, Udayan Khurana, Horst Samulowitz, Beat Buesser, Sijia Liu, Tejaswini Pedapati, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Alexander G. Gray |
| 2020 | IUI | AutoAIViz: opening the blackbox of automated artificial intelligence with conditional parallel coordinates. | Daniel Karl I. Weidele, Justin D. Weisz, Erick Oduor, Michael J. Muller, Josh Andres, Alexander G. Gray, Dakuo Wang |
| 2017 | KDD | Fraud Detection with Density Estimation Trees. | Parikshit Ram, Alexander G. Gray |
| 2013 | ICML | Tree-Independent Dual-Tree Algorithms. | Ryan R. Curtin, William B. March, Parikshit Ram, David V. Anderson, Alexander G. Gray, Charles L. Isbell Jr. |
| 2013 | ICML | Sparsity-Based Generalization Bounds for Predictive Sparse Coding. | Nishant Ajay Mehta, Alexander G. Gray |
| 2013 | ICML | Stochastic Alternating Direction Method of Multipliers. | Hua Ouyang, Niao He, Long Q. Tran, Alexander G. Gray |
| 2013 | UAI | Building Bridges: Viewing Active Learning from the Multi-Armed Bandit Lens. | Ravi Ganti, Alexander G. Gray |
| 2013 | SDM | Fast Exact Max-Kernel Search. | Ryan R. Curtin, Alexander G. Gray, Parikshit Ram |
| 2013 | SDM | Reduced Set KPCA for Improving the Training and Execution Speed of Kernel Machines. | Alexander G. Gray, Hassan A. Kingravi, Patricio A. Vela |
| 2012 | ICML | Stochastic Smoothing for Nonsmooth Minimizations: Accelerating SGD by Exploiting Structure. | Hua Ouyang, Alexander G. Gray |
| 2012 | KDD | Fast algorithms for comprehensive n-point correlation estimates. | William B. March, Andrew J. Connolly, Alexander G. Gray |
| 2012 | KDD | NASA: achieving lower regrets and faster rates via adaptive stepsizes. | Hua Ouyang, Alexander G. Gray |
| 2012 | KDD | Maximum inner-product search using cone trees. | Parikshit Ram, Alexander G. Gray |
| 2012 | POPL | A type theory for probability density functions. | Sooraj Bhat, Ashish Agarwal, Richard W. Vuduc, Alexander G. Gray |
| 2012 | SC | Optimizing the computation of n-point correlations on large-scale astronomical data. | William B. March, Kenneth Czechowski, Marat Dukhan, Thomas Benson, Dongryeol Lee, Andrew J. Connolly, Richard W. Vuduc, Edmond Chow, Alexander G. Gray |
| 2012 | SDM | A Distributed Kernel Summation Framework for General-Dimension Machine Learning. | Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray |
| 2012 | SDM | Nearest-Neighbor Search on a Time Budget via Max-Margin Trees. | Parikshit Ram, Dongryeol Lee, Alexander G. Gray |
| 2011 | ICDM | Learning Protein Folding Energy Functions. | Wei Guan, Arkadas Ozakin, Alexander G. Gray, Jose Borreguero, Shashi Bhushan Pandit, Anna Jagielska, Liliana Wroblewska, Jeffrey Skolnick |
| 2011 | KDD | Density estimation trees. | Parikshit Ram, Alexander G. Gray |
| 2010 | KDD | Fast euclidean minimum spanning tree: algorithm, analysis, and applications. | William B. March, Parikshit Ram, Alexander G. Gray |
| 2010 | PADL | Automating Mathematical Program Transformations. | Ashish Agarwal, Sooraj Bhat, Alexander G. Gray, Ignacio E. Grossmann |
| 2010 | SDM | Fast Stochastic Frank-Wolfe Algorithms for Nonlinear SVMs. | Hua Ouyang, Alexander G. Gray |
| 2009 | SDM | FuncICA for Time Series Pattern Discovery. | Nishant A. Mehta, Alexander G. Gray |
| 2009 | SDM | Non-negative Matrix Factorization, Convexity and Isometry. | Nikolaos Vasiloglou, Alexander G. Gray, David V. Anderson |
| 2008 | ICML | Learning dissimilarities by ranking: from SDP to QP. | Hua Ouyang, Alexander G. Gray |
| 2008 | SIGCSE | Can great research be taught?: independent research with cross-disciplinary thinking and broader impact. | Nick Feamster, Alexander G. Gray |
| 2008 | SDM | Massive-Scale Kernel Discriminant Analysis: Mining for Quasars. | Ryan Riegel, Alexander G. Gray, Gordon Richards |
| 2007 | UAI | Fast Nonparametric Conditional Density Estimation. | Michael P. Holmes, Alexander G. Gray, Charles L. Isbell Jr. |
| 2006 | UAI | Faster Gaussian Summation: Theory and Experiment. | Dongryeol Lee, Alexander G. Gray |
| 2003 | AISTATS | Rapid Evaluation of Multiple Density Models. | Alexander G. Gray, Andrew W. Moore |
| 2003 | SDM | Nonparametric Density Estimation: Toward Computational Tractability. | Alexander G. Gray, Andrew W. Moore |
| 1999 | AAAI | An Integrated System for Multi-Rover Scientific Exploration. | Tara A. Estlin, Alexander G. Gray, Tobias Mann, Gregg R. Rabideau, Rebecca Castao, Steve A. Chien, Eric Mjolsness |
| 1995 | ICML | Retrofitting Decision Tree Classifiers Using Kernel Density Estimation. | Padhraic Smyth, Alexander G. Gray, Usama M. Fayyad |