Alexander G. Gray

129 papers A* 22A 20B 1C 2Misc 2Journal 55Unranked 27

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Bilevel Learning for Bilevel Planning. CoRR Bowen Li, Tom Silver, Sebastian A. Scherer, Alexander G. Gray
2025	J	`jnl`	Few-shot Policy (de)composition in Conversational Question Answering. CoRR Kyle Erwin, Guy Axelrod, Maria Chang, Achille Fokoue, Maxwell Crouse, Soham Dan, Tian Gao, Rosario Uceda-Sosa, Ndivhuwo Makondo, Naweed Khan, Alexander G. Gray
2025	J	`jnl`	Multilinear and Linear Programs for Partially Identifiable Queries in Quasi-Markovian Structural Causal Models. CoRR João P. Arroyo, João G. Rodrigues, Daniel Angelo Esteves Lawand, Denis Deratani Mauá, Junkyu Lee, Radu Marinescu, Alexander G. Gray, Eduardo R. Laurentino, Fábio G. Cozman
2025	A*	`conf`	Neural Reasoning Networks: Efficient Interpretable Neural Networks with Automatic Textual Explanations. AAAI Stephen Carrow, Kyle Erwin, Olga Vilenskaia, Parikshit Ram, Tim Klinger, Naweed Khan, Ndivhuwo Makondo, Alexander G. Gray
2025	J	`jnl`	Transformers Learn Faster with Semantic Focus. CoRR Parikshit Ram, Kenneth L. Clarkson, Tim Klinger, Shashanka Ubaru, Alexander G. Gray
2025	J	`jnl`	Unifying Deep Predicate Invention with Pre-trained Foundation Models. CoRR Qianwei Wang, Bowen Li, Zhanpeng Luo, Yifan Xu, Alexander G. Gray, Tom Silver, Sebastian A. Scherer, Katia Sycara, Yaqi Xie
2024	A*	`conf`	Abductive Reasoning in Logical Credal Networks. NeurIPS Radu Marinescu, Junkyu Lee, Debarun Bhattacharjya, Fábio G. Cozman, Alexander G. Gray
2024	A*	`conf`	LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation. NeurIPS Bowen Li, Zhaoyu Li, Qiwei Du, Jinqi Luo, Wenshan Wang, Yaqi Xie, Simon Stepputtis, Chen Wang, Katia P. Sycara, Pradeep Ravikumar, Alexander G. Gray, Xujie Si, Sebastian A. Scherer
2024	J	`jnl`	LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation. CoRR Bowen Li, Zhaoyu Li, Qiwei Du, Jinqi Luo, Wenshan Wang, Yaqi Xie, Simon Stepputtis, Chen Wang, Katia P. Sycara, Pradeep Kumar Ravikumar, Alexander G. Gray, Xujie Si, Sebastian A. Scherer
2024	J	`jnl`	Markov conditions and factorization in logical credal networks. Int. J. Approx. Reason. Fábio G. Cozman, Radu Marinescu, Junkyu Lee, Alexander G. Gray, Ryan Riegel, Debarun Bhattacharjya
2024	A*	`conf`	What Makes Models Compositional? A Theoretical View. IJCAI Parikshit Ram, Tim Klinger, Alexander G. Gray
2024	—	`conf`	What makes Models Compositional? A Neuro-Symbolic Theoretical View (Extended Abstract). LNSAI@IJCAI Parikshit Ram, Tim Klinger, Alexander G. Gray
2024	J	`jnl`	What makes Models Compositional? A Theoretical View: With Supplement. CoRR Parikshit Ram, Tim Klinger, Alexander G. Gray
2023	A*	`conf`	Approximate Inference in Logical Credal Networks. IJCAI Radu Marinescu, Haifeng Qian, Alexander G. Gray, Debarun Bhattacharjya, Francisco Barahona, Tian Gao, Ryan Riegel
2023	A*	`conf`	Credal Marginal MAP. NeurIPS Radu Marinescu, Debarun Bhattacharjya, Junkyu Lee, Fábio G. Cozman, Alexander G. Gray
2023	A	`conf`	Toward Theoretical Guidance for Two Common Questions in Practical Cross-Validation based Hyperparameter Selection. SDM Parikshit Ram, Alexander G. Gray, Horst C. Samulowitz, Gregory Bramble
2023	J	`jnl`	Toward Theoretical Guidance for Two Common Questions in Practical Cross-Validation based Hyperparameter Selection. CoRR Parikshit Ram, Alexander G. Gray, Horst C. Samulowitz, Gregory Bramble
2022	J	`jnl`	A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge Bases. CoRR Sumit Neelam, Udit Sharma, Hima Karanam, Shajith Ikbal, Pavan Kapanipathi, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Young-Suk Lee, Santosh K. Srivastava, Cezar Pendus, Saswati Dana, Dinesh Garg, Achille Fokoue, G. P. Shrivatsa Bhargav, Dinesh Khandelwal, Srinivas Ravishankar, Sairam Gurajada, Maria Chang, Rosario Uceda-Sosa, Salim Roukos, Alexander G. Gray, Guilherme Lima, Ryan Riegel, Francois P. S. Luus, L. Venkata Subramaniam
2022	A*	`conf`	Logical Credal Networks. NeurIPS Radu Marinescu, Haifeng Qian, Alexander G. Gray, Debarun Bhattacharjya, Francisco Barahona, Tian Gao, Ryan Riegel, Pravinda Sahu
2022	A*	`conf`	Logical Neural Networks for Knowledge Base Completion with Embeddings & Rules. EMNLP Prithviraj Sen, Breno W. S. R. de Carvalho, Ibrahim Abdelaziz, Pavan Kapanipathi, Salim Roukos, Alexander G. Gray
2022	A*	`conf`	Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks. AAAI Prithviraj Sen, Breno W. S. R. de Carvalho, Ryan Riegel, Alexander G. Gray
2022	—	`conf`	Zero-shot Entity Linking with Less Data. NAACL-HLT (Findings) G. P. Shrivatsa Bhargav, Dinesh Khandelwal, Saswati Dana, Dinesh Garg, Pavan Kapanipathi, Salim Roukos, Alexander G. Gray, L. Venkata Subramaniam
2021	A*	`conf`	A Semantic Parsing and Reasoning-Based Approach to Knowledge Base Question Answering. AAAI Ibrahim Abdelaziz, Srinivas Ravishankar, Pavan Kapanipathi, Salim Roukos, Alexander G. Gray
2021	—	`conf`	A Semantics-aware Transformer Model of Relation Linking for Knowledge Base Question Answering. ACL/IJCNLP (2) Tahira Naseem, Srinivas Ravishankar, Nandana Mihindukulasooriya, Ibrahim Abdelaziz, Young-Suk Lee, Pavan Kapanipathi, Salim Roukos, Alfio Gliozzo, Alexander G. Gray
2021	J	`jnl`	Combining Rules and Embeddings via Neuro-Symbolic AI for Knowledge Base Completion. CoRR Prithviraj Sen, Breno W. S. R. de Carvalho, Ibrahim Abdelaziz, Pavan Kapanipathi, Francois P. S. Luus, Salim Roukos, Alexander G. Gray
2021	—	`conf`	LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking. ACL/IJCNLP (1) Hang Jiang, Sairam Gurajada, Qiuhao Lu, Sumit Neelam, Lucian Popa, Prithviraj Sen, Yunyao Li, Alexander G. Gray
2021	J	`jnl`	LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking. CoRR Hang Jiang, Sairam Gurajada, Qiuhao Lu, Sumit Neelam, Lucian Popa, Prithviraj Sen, Yunyao Li, Alexander G. Gray
2021	—	`conf`	Leveraging Abstract Meaning Representation for Knowledge Base Question Answering. ACL/IJCNLP (Findings) Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Salim Roukos, Alexander G. Gray, Ramón 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	J	`jnl`	Logic Embeddings for Complex Query Answering. CoRR Francois P. S. Luus, Prithviraj Sen, Pavan Kapanipathi, Ryan Riegel, Ndivhuwo Makondo, Thabang Lebese, Alexander G. Gray
2021	J	`jnl`	Logical Credal Networks. CoRR Haifeng Qian, Radu Marinescu, Alexander G. Gray, Debarun Bhattacharjya, Francisco Barahona, Tian Gao, Ryan Riegel, Pravinda Sahu
2021	J	`jnl`	Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks. CoRR Prithviraj Sen, Breno W. S. R. de Carvalho, Ryan Riegel, Alexander G. Gray
2021	J	`jnl`	SYGMA: System for Generalizable Modular Question Answering OverKnowledge Bases. CoRR Sumit Neelam, Udit Sharma, Hima Karanam, Shajith Ikbal, Pavan Kapanipathi, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Young-Suk Lee, Santosh K. Srivastava, Cezar Pendus, Saswati Dana, Dinesh Garg, Achille Fokoue, G. P. Shrivatsa Bhargav, Dinesh Khandelwal, Srinivas Ravishankar, Sairam Gurajada, Maria Chang, Rosario Uceda-Sosa, Salim Roukos, Alexander G. Gray, Guilherme Lima, Ryan Riegel, Francois P. S. Luus, L. Venkata Subramaniam
2021	Misc	`conf`	Training Logical Neural Networks by Primal-Dual Methods for Neuro-Symbolic Reasoning. ICASSP Songtao Lu, Naweed Khan, Ismail Yunus Akhalwaya, Ryan Riegel, Lior Horesh, Alexander G. Gray
2020	A*	`conf`	An ADMM Based Framework for AutoML Pipeline Configuration. AAAI Sijia Liu, Parikshit Ram, Deepak Vijaykeerthy, Djallel Bouneffouf, Gregory Bramble, Horst Samulowitz, Dakuo Wang, Andrew Conn, Alexander G. Gray
2020	A	`conf`	AutoAIViz: opening the blackbox of automated artificial intelligence with conditional parallel coordinates. IUI Daniel Karl I. Weidele, Justin D. Weisz, Erick Oduor, Michael J. Muller, Josh Andres, Alexander G. Gray, Dakuo Wang
2020	J	`jnl`	Foundations of Reasoning with Uncertainty via Real-valued Logics. CoRR Ronald Fagin, Ryan Riegel, Alexander G. Gray
2020	—	`conf`	Leveraging Semantic Parsing for Relation Linking over Knowledge Bases. ISWC (1) Nandana Mihindukulasooriya, Gaetano Rossiello, Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Mo Yu, Alfio Gliozzo, Salim Roukos, Alexander G. Gray
2020	J	`jnl`	Leveraging Semantic Parsing for Relation Linking over Knowledge Bases. CoRR Nandana Mihindukulasooriya, Gaetano Rossiello, Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Mo Yu, Alfio Gliozzo, Salim Roukos, Alexander G. Gray
2020	J	`jnl`	Logical Neural Networks. CoRR Ryan Riegel, Alexander G. Gray, Francois P. S. Luus, Naweed Khan, Ndivhuwo Makondo, Ismail Yunus Akhalwaya, Haifeng Qian, Ronald Fagin, Francisco Barahona, Udit Sharma, Shajith Ikbal, Hima Karanam, Sumit Neelam, Ankita Likhyani, Santosh K. Srivastava
2020	J	`jnl`	Question Answering over Knowledge Bases by Leveraging Semantic Parsing and Neuro-Symbolic Reasoning. CoRR Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Salim Roukos, Alexander G. Gray, Ramón 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
2020	J	`jnl`	Solving Constrained CASH Problems with ADMM. CoRR Parikshit Ram, Sijia Liu, Deepak Vijaykeerthy, Dakuo Wang, Djallel Bouneffouf, Gregory Bramble, Horst Samulowitz, Alexander G. Gray
2020	B	`conf`	Survey on Automated End-to-End Data Science? IJCNN 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
2019	J	`jnl`	AutoAIViz: Opening the Blackbox of Automated Artificial Intelligence with Conditional Parallel Coordinates. CoRR Daniel Karl I. Weidele, Justin D. Weisz, Eno Oduor, Michael J. Muller, Josh Andres, Alexander G. Gray, Dakuo Wang
2019	J	`jnl`	Automated Machine Learning via ADMM. CoRR Sijia Liu, Parikshit Ram, Djallel Bouneffouf, Gregory Bramble, Andrew R. Conn, Horst Samulowitz, Alexander G. Gray
2019	J	`jnl`	How can AI Automate End-to-End Data Science? CoRR Charu C. Aggarwal, Djallel Bouneffouf, Horst Samulowitz, Beat Buesser, Thanh Hoang, Udayan Khurana, Sijia Liu, Tejaswini Pedapati, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Alexander G. Gray
2019	J	`jnl`	Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI. CoRR Dakuo Wang, Justin D. Weisz, Michael J. Muller, Parikshit Ram, Werner Geyer, Casey Dugan, Yla R. Tausczik, Horst Samulowitz, Alexander G. Gray
2019	J	`jnl`	Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI. Proc. ACM Hum. Comput. Interact. Dakuo Wang, Justin D. Weisz, Michael J. Muller, Parikshit Ram, Werner Geyer, Casey Dugan, Yla R. Tausczik, Horst Samulowitz, Alexander G. Gray
2017	—	`conf`	Fraud Detection with Density Estimation Trees. ADF@KDD Parikshit Ram, Alexander G. Gray
2014	J	`jnl`	A distributed kernel summation framework for general-dimension machine learning. Stat. Anal. Data Min. Dongryeol Lee, Piyush Sao, Richard W. Vuduc, Alexander G. Gray
2013	A	`conf`	Building Bridges: Viewing Active Learning from the Multi-Armed Bandit Lens. UAI Ravi Ganti, Alexander G. Gray
2013	J	`jnl`	Building Bridges: Viewing Active Learning from the Multi-Armed Bandit Lens. CoRR Ravi Ganti, Alexander G. Gray
2013	J	`jnl`	Dependence maps, a dimensionality reduction with dependence distance for high-dimensional data. Data Min. Knowl. Discov. Kichun Lee, Alexander G. Gray, Heeyoung Kim
2013	A	`conf`	Fast Exact Max-Kernel Search. SDM Ryan R. Curtin, Alexander G. Gray, Parikshit Ram
2013	J	`jnl`	Local Support Vector Machines: Formulation and Analysis. CoRR Ravi Ganti, Alexander G. Gray
2013	J	`jnl`	MLPACK: a scalable C++ machine learning library. J. Mach. Learn. Res. Ryan R. Curtin, James R. Cline, N. P. Slagle, William B. March, Parikshit Ram, Nishant A. Mehta, Alexander G. Gray
2013	A	`conf`	Reduced Set KPCA for Improving the Training and Execution Speed of Kernel Machines. SDM Alexander G. Gray, Hassan A. Kingravi, Patricio A. Vela
2013	J	`jnl`	Sparse high-dimensional fractional-norm support vector machine via DC programming. Comput. Stat. Data Anal. Wei Guan, Alexander G. Gray
2013	—	`conf`	Sparsity-Based Generalization Bounds for Predictive Sparse Coding. ICML (1) Nishant Ajay Mehta, Alexander G. Gray
2013	—	`conf`	Stochastic Alternating Direction Method of Multipliers. ICML (1) Hua Ouyang, Niao He, Long Q. Tran, Alexander G. Gray
2013	J	`jnl`	Tree-Independent Dual-Tree Algorithms CoRR Ryan R. Curtin, William B. March, Parikshit Ram, David V. Anderson, Alexander G. Gray, Charles Lee Isbell Jr.
2013	—	`conf`	Tree-Independent Dual-Tree Algorithms. ICML (3) Ryan R. Curtin, William B. March, Parikshit Ram, David V. Anderson, Alexander G. Gray, Charles L. Isbell Jr.
2013	—	`conf`	Which Space Partitioning Tree to Use for Search? NIPS Parikshit Ram, Alexander G. Gray
2012	A	`conf`	A Distributed Kernel Summation Framework for General-Dimension Machine Learning. SDM Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
2012	A*	`conf`	A type theory for probability density functions. POPL Sooraj Bhat, Ashish Agarwal, Richard W. Vuduc, Alexander G. Gray
2012	J	`jnl`	Computer detection approaches for the identification of phasic electromyographic (EMG) activity during human sleep. Biomed. Signal Process. Control. Jacqueline Fairley, George K. Georgoulas, Nishant A. Mehta, Alexander G. Gray, Donald L. Bliwise
2012	J	`jnl`	Fast Exact Max-Kernel Search CoRR Ryan R. Curtin, Parikshit Ram, Alexander G. Gray
2012	J	`jnl`	Fast Nonparametric Conditional Density Estimation CoRR Michael P. Holmes, Alexander G. Gray, Charles Lee Isbell Jr.
2012	A*	`conf`	Fast algorithms for comprehensive n-point correlation estimates. KDD William B. March, Andrew J. Connolly, Alexander G. Gray
2012	J	`jnl`	Faster Gaussian Summation: Theory and Experiment. CoRR Dongryeol Lee, Alexander G. Gray
2012	—	`conf`	Introduction to astroML: Machine learning for astrophysics. CIDU Jacob VanderPlas, Andrew J. Connolly, Zeljko Ivezic, Alexander G. Gray
2012	J	`jnl`	MLPACK: A Scalable C++ Machine Learning Library CoRR Ryan R. Curtin, James R. Cline, N. P. Slagle, William B. March, Parikshit Ram, Nishant A. Mehta, Alexander G. Gray
2012	J	`jnl`	Maximum Inner-Product Search using Tree Data-structures CoRR Parikshit Ram, Alexander G. Gray
2012	A*	`conf`	Maximum inner-product search using cone trees. KDD Parikshit Ram, Alexander G. Gray
2012	J	`jnl`	Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL CoRR Nishant A. Mehta, Dongryeol Lee, Alexander G. Gray
2012	—	`conf`	Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL. NIPS Nishant A. Mehta, Dongryeol Lee, Alexander G. Gray
2012	J	`jnl`	Multibody multipole methods. J. Comput. Phys. Dongryeol Lee, Arkadas Ozakin, Alexander G. Gray
2012	A*	`conf`	NASA: achieving lower regrets and faster rates via adaptive stepsizes. KDD Hua Ouyang, Alexander G. Gray
2012	A	`conf`	Nearest-Neighbor Search on a Time Budget via Max-Margin Trees. SDM Parikshit Ram, Dongryeol Lee, Alexander G. Gray
2012	J	`jnl`	On the Sample Complexity of Predictive Sparse Coding CoRR Nishant A. Mehta, Alexander G. Gray
2012	A	`conf`	Optimizing the computation of n-point correlations on large-scale astronomical data. SC William B. March, Kenneth Czechowski, Marat Dukhan, Thomas Benson, Dongryeol Lee, Andrew J. Connolly, Richard W. Vuduc, Edmond Chow, Alexander G. Gray
2012	J	`jnl`	Stochastic ADMM for Nonsmooth Optimization CoRR Hua Ouyang, Niao He, Alexander G. Gray
2012	J	`jnl`	Stochastic Smoothing for Nonsmooth Minimizations: Accelerating SGD by Exploiting Structure CoRR Hua Ouyang, Alexander G. Gray
2012	A*	`conf`	Stochastic Smoothing for Nonsmooth Minimizations: Accelerating SGD by Exploiting Structure. ICML Hua Ouyang, Alexander G. Gray
2012	A	`conf`	UPAL: Unbiased Pool Based Active Learning. AISTATS Ravi Ganti, Alexander G. Gray
2011	A	`conf`	CAKE: Convex Adaptive Kernel Density Estimation. AISTATS Ravi Sastry Ganti Mahapatruni, Alexander G. Gray
2011	J	`jnl`	Data-Distributed Weighted Majority and Online Mirror Descent CoRR Hua Ouyang, Alexander G. Gray
2011	A*	`conf`	Density estimation trees. KDD Parikshit Ram, Alexander G. Gray
2011	J	`jnl`	Dual-Tree Fast Gauss Transforms CoRR Dongryeol Lee, Alexander G. Gray, Andrew W. Moore
2011	A*	`conf`	Learning Protein Folding Energy Functions. ICDM Wei Guan, Arkadas Ozakin, Alexander G. Gray, Jose Borreguero, Shashi Bhushan Pandit, Anna Jagielska, Liliana Wroblewska, Jeffrey Skolnick
2011	J	`jnl`	Multibody Multipole Methods CoRR Dongryeol Lee, Arkadas Ozakin, Alexander G. Gray
2011	J	`jnl`	UPAL: Unbiased Pool Based Active Learning CoRR Ravi Ganti, Alexander G. Gray
2010	C	`conf`	Automating Mathematical Program Transformations. PADL Ashish Agarwal, Sooraj Bhat, Alexander G. Gray, Ignacio E. Grossmann
2010	A	`conf`	Fast Stochastic Frank-Wolfe Algorithms for Nonlinear SVMs. SDM Hua Ouyang, Alexander G. Gray
2010	A*	`conf`	Fast euclidean minimum spanning tree: algorithm, analysis, and applications. KDD William B. March, Parikshit Ram, Alexander G. Gray
2010	J	`jnl`	Fast kernel conditional density estimation: A dual-tree Monte Carlo approach. Comput. Stat. Data Anal. Michael P. Holmes, Alexander G. Gray, Charles Lee Isbell Jr.
2010	J	`jnl`	Generative and Latent Mean Map Kernels CoRR Nishant A. Mehta, Alexander G. Gray
2010	C	`conf`	Stochastic Mirror Descent Algorithm for L1-Regularized Risk Minimizations. CIT Hua Ouyang, Alexander G. Gray
2010	Misc	`conf`	Toward interactive statistical modeling. ICCS Sooraj Bhat, Ashish Agarwal, Alexander G. Gray, Richard W. Vuduc
2009	J	`jnl`	Automatic joint classification and segmentation of whole cell 3D images. Pattern Recognit. Rajesh Narasimha, Hua Ouyang, Alexander G. Gray, Steven W. McLaughlin, Sriram Subramaniam
2009	A*	`conf`	Detecting Spammers with SNARE: Spatio-temporal Network-level Automatic Reputation Engine. USENIX Security Symposium Shuang Hao, Nadeem Ahmed Syed, Nick Feamster, Alexander G. Gray, Sven Krasser
2009	A	`conf`	FuncICA for Time Series Pattern Discovery. SDM Nishant A. Mehta, Alexander G. Gray
2009	—	`conf`	Linear-time Algorithms for Pairwise Statistical Problems. NIPS Parikshit Ram, Dongryeol Lee, William B. March, Alexander G. Gray
2009	A	`conf`	Non-negative Matrix Factorization, Convexity and Isometry. SDM Nikolaos Vasiloglou, Alexander G. Gray, David V. Anderson
2009	J	`jnl`	Ovarian cancer detection from metabolomic liquid chromatography/mass spectrometry data by support vector machines. BMC Bioinform. Wei Guan, Manshui Zhou, Christina Y. Hampton, Benedict B. Benigno, L. DeEtte Walker, Alexander G. Gray, John F. McDonald, Facundo M. Fernández
2009	—	`conf`	Rank-Approximate Nearest Neighbor Search: Retaining Meaning and Speed in High Dimensions. NIPS Parikshit Ram, Dongryeol Lee, Hua Ouyang, Alexander G. Gray
2009	—	`conf`	Submanifold density estimation. NIPS Arkadas Ozakin, Alexander G. Gray
2008	A	`conf`	Can great research be taught?: independent research with cross-disciplinary thinking and broader impact. SIGCSE Nick Feamster, Alexander G. Gray
2008	—	`conf`	Fast High-dimensional Kernel Summations Using the Monte Carlo Multipole Method. NIPS Dongryeol Lee, Alexander G. Gray
2008	J	`jnl`	Learning Isometric Separation Maps CoRR Nikolaos Vasiloglou, Alexander G. Gray, David V. Anderson
2008	A*	`conf`	Learning dissimilarities by ranking: from SDP to QP. ICML Hua Ouyang, Alexander G. Gray
2008	A	`conf`	Massive-Scale Kernel Discriminant Analysis: Mining for Quasars. SDM Ryan Riegel, Alexander G. Gray, Gordon Richards
2008	J	`jnl`	Non-Negative Matrix Factorization, Convexity and Isometry CoRR Nikolaos Vasiloglou, Alexander G. Gray, David V. Anderson
2008	—	`conf`	QUIC-SVD: Fast SVD Using Cosine Trees. NIPS Michael P. Holmes, Alexander G. Gray, Charles Lee Isbell Jr.
2007	A	`conf`	Fast Mean Shift with Accurate and Stable Convergence. AISTATS Ping Wang, Dongryeol Lee, Alexander G. Gray, James M. Rehg
2007	A	`conf`	Fast Nonparametric Conditional Density Estimation. UAI Michael P. Holmes, Alexander G. Gray, Charles L. Isbell Jr.
2007	—	`conf`	Ultrafast Monte Carlo for Statistical Summations. NIPS Michael P. Holmes, Alexander G. Gray, Charles Lee Isbell Jr.
2006	A	`conf`	Faster Gaussian Summation: Theory and Experiment. UAI Dongryeol Lee, Alexander G. Gray
2006	J	`jnl`	New Algorithms for Efficient High-Dimensional Nonparametric Classification. J. Mach. Learn. Res. Ting Liu, Andrew W. Moore, Alexander G. Gray
2006	—	`conf`	On-line anomaly detection of deployed software: a statistical machine learning approach. SOQUA George K. Baah, Alexander G. Gray, Mary Jean Harrold
2005	—	`conf`	Dual-Tree Fast Gauss Transforms. NIPS Dongryeol Lee, Alexander G. Gray, Andrew W. Moore
2004	—	`conf`	An Investigation of Practical Approximate Nearest Neighbor Algorithms. NIPS Ting Liu, Andrew W. Moore, Alexander G. Gray, Ke Yang
2003	—	`conf`	New Algorithms for Efficient High Dimensional Non-parametric Classification. NIPS Ting Liu, Andrew W. Moore, Alexander G. Gray
2003	A	`conf`	Nonparametric Density Estimation: Toward Computational Tractability. SDM Alexander G. Gray, Andrew W. Moore
2003	A	`conf`	Rapid Evaluation of Multiple Density Models. AISTATS Alexander G. Gray, Andrew W. Moore
2002	—	`conf`	Automatic Derivation of Statistical Algorithms: The EM Family and Beyond. NIPS Alexander G. Gray, Bernd Fischer, Johann Schumann, Wray L. Buntine
2000	—	`conf`	'N-Body' Problems in Statistical Learning. NIPS Alexander G. Gray, Andrew W. Moore
1999	—	`conf`	An Integrated System for Multi-Rover Scientific Exploration. AAAI/IAAI Tara A. Estlin, Alexander G. Gray, Tobias Mann, Gregg R. Rabideau, Rebecca Castaño, Steve A. Chien, Eric Mjolsness
1998	—	`conf`	Automated Design of Quantum Circuits. QCQC Colin P. Williams, Alexander G. Gray
1995	A*	`conf`	Retrofitting Decision Tree Classifiers Using Kernel Density Estimation. ICML Padhraic Smyth, Alexander G. Gray, Usama M. Fayyad