Alexander G. Gray

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 37

Top Venues

Publications

Fábio Gagliardi Cozman, Radu Marinescu, Junkyu Lee, Alexander G. Gray, Ryan Riegel, Debarun Bhattacharjya
Markov conditions and factorization in logical credal networks. Int. J. Approx. Reason. 172 (2024)
Parikshit Ram, Tim Klinger, Alexander G. Gray
What makes Models Compositional? A Theoretical View: With Supplement. CoRR (2024)
Radu Marinescu, Haifeng Qian, Alexander G. Gray, Debarun Bhattacharjya, Francisco Barahona, Tian Gao, Ryan Riegel
Approximate Inference in Logical Credal Networks. IJCAI (2023)
Parikshit Ram, Alexander G. Gray, Horst C. Samulowitz, Gregory Bramble
Toward Theoretical Guidance for Two Common Questions in Practical Cross-Validation based Hyperparameter Selection. CoRR (2023)
Parikshit Ram, Alexander G. Gray, Horst C. Samulowitz, Gregory Bramble
Toward Theoretical Guidance for Two Common Questions in Practical Cross-Validation based Hyperparameter Selection. SDM (2023)
Radu Marinescu, Debarun Bhattacharjya, Junkyu Lee, Fabio Cozman, Alexander G. Gray
Credal Marginal MAP. NeurIPS (2023)
Prithviraj Sen, Breno W. S. R. de Carvalho, Ryan Riegel, Alexander G. Gray
Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks. AAAI (2022)
Radu Marinescu, Haifeng Qian, Alexander G. Gray, Debarun Bhattacharjya, Francisco Barahona, Tian Gao, Ryan Riegel, Pravinda Sahu
Logical Credal Networks. NeurIPS (2022)
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
A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge Bases. CoRR (2022)
G. P. Shrivatsa Bhargav, Dinesh Khandelwal, Saswati Dana, Dinesh Garg, Pavan Kapanipathi, Salim Roukos, Alexander G. Gray, L. Venkata Subramaniam
Zero-shot Entity Linking with Less Data. NAACL-HLT (Findings) (2022)
Prithviraj Sen, Breno W. S. R. de Carvalho, Ibrahim Abdelaziz, Pavan Kapanipathi, Salim Roukos, Alexander G. Gray
Logical Neural Networks for Knowledge Base Completion with Embeddings & Rules. EMNLP (2022)
Songtao Lu, Naweed Khan, Ismail Yunus Akhalwaya, Ryan Riegel, Lior Horesh, Alexander G. Gray
Training Logical Neural Networks by Primal-Dual Methods for Neuro-Symbolic Reasoning. ICASSP (2021)
Prithviraj Sen, Breno W. S. R. de Carvalho, Ryan Riegel, Alexander G. Gray
Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks. CoRR (2021)
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
Leveraging Abstract Meaning Representation for Knowledge Base Question Answering. ACL/IJCNLP (Findings) (2021)
Ibrahim Abdelaziz, Srinivas Ravishankar, Pavan Kapanipathi, Salim Roukos, Alexander G. Gray
A Semantic Parsing and Reasoning-Based Approach to Knowledge Base Question Answering. AAAI (2021)
Prithviraj Sen, Breno W. S. R. Carvalho, Ibrahim Abdelaziz, Pavan Kapanipathi, Francois P. S. Luus, Salim Roukos, Alexander G. Gray
Combining Rules and Embeddings via Neuro-Symbolic AI for Knowledge Base Completion. CoRR (2021)
Tahira Naseem, Srinivas Ravishankar, Nandana Mihindukulasooriya, Ibrahim Abdelaziz, Young-Suk Lee, Pavan Kapanipathi, Salim Roukos, Alfio Gliozzo, Alexander G. Gray
A Semantics-aware Transformer Model of Relation Linking for Knowledge Base Question Answering. ACL/IJCNLP (2) (2021)
Hang Jiang, Sairam Gurajada, Qiuhao Lu, Sumit Neelam, Lucian Popa, Prithviraj Sen, Yunyao Li, Alexander G. Gray
LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking. ACL/IJCNLP (1) (2021)
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
SYGMA: System for Generalizable Modular Question Answering OverKnowledge Bases. CoRR (2021)
Francois P. S. Luus, Prithviraj Sen, Pavan Kapanipathi, Ryan Riegel, Ndivhuwo Makondo, Thabang Lebese, Alexander G. Gray
Logic Embeddings for Complex Query Answering. CoRR (2021)
Hang Jiang, Sairam Gurajada, Qiuhao Lu, Sumit Neelam, Lucian Popa, Prithviraj Sen, Yunyao Li, Alexander G. Gray
LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking. CoRR (2021)
Haifeng Qian, Radu Marinescu, Alexander G. Gray, Debarun Bhattacharjya, Francisco Barahona, Tian Gao, Ryan Riegel, Pravinda Sahu
Logical Credal Networks. CoRR (2021)
Sijia Liu, Parikshit Ram, Deepak Vijaykeerthy, Djallel Bouneffouf, Gregory Bramble, Horst Samulowitz, Dakuo Wang, Andrew Conn, Alexander G. Gray
An ADMM Based Framework for AutoML Pipeline Configuration. AAAI (2020)
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
Question Answering over Knowledge Bases by Leveraging Semantic Parsing and Neuro-Symbolic Reasoning. CoRR (2020)
Nandana Mihindukulasooriya, Gaetano Rossiello, Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Mo Yu, Alfio Gliozzo, Salim Roukos, Alexander G. Gray
Leveraging Semantic Parsing for Relation Linking over Knowledge Bases. CoRR (2020)
Nandana Mihindukulasooriya, Gaetano Rossiello, Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Mo Yu, Alfio Gliozzo, Salim Roukos, Alexander G. Gray
Leveraging Semantic Parsing for Relation Linking over Knowledge Bases. ISWC (1) (2020)
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
Survey on Automated End-to-End Data Science? IJCNN (2020)
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
Logical Neural Networks. CoRR (2020)
Ronald Fagin, Ryan Riegel, Alexander G. Gray
Foundations of Reasoning with Uncertainty via Real-valued Logics. CoRR (2020)
Daniel Karl I. Weidele, Justin D. Weisz, Erick Oduor, Michael J. Muller, Josh Andres, Alexander G. Gray, Dakuo Wang
AutoAIViz: opening the blackbox of automated artificial intelligence with conditional parallel coordinates. IUI (2020)
Parikshit Ram, Sijia Liu, Deepak Vijaykeerthy, Dakuo Wang, Djallel Bouneffouf, Gregory Bramble, Horst Samulowitz, Alexander G. Gray
Solving Constrained CASH Problems with ADMM. CoRR (2020)
Sijia Liu, Parikshit Ram, Djallel Bouneffouf, Gregory Bramble, Andrew R. Conn, Horst Samulowitz, Alexander G. Gray
Automated Machine Learning via ADMM. CoRR (2019)
Dakuo Wang, Justin D. Weisz, Michael J. Muller, Parikshit Ram, Werner Geyer, Casey Dugan, Yla R. Tausczik, Horst Samulowitz, Alexander G. Gray
Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI. CoRR (2019)
Dakuo Wang, Justin D. Weisz, Michael J. Muller, Parikshit Ram, Werner Geyer, Casey Dugan, Yla R. Tausczik, Horst Samulowitz, Alexander G. Gray
Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI. Proc. ACM Hum. Comput. Interact. 3 (CSCW) (2019)
Daniel Karl I. Weidele, Justin D. Weisz, Eno Oduor, Michael J. Muller, Josh Andres, Alexander G. Gray, Dakuo Wang
AutoAIViz: Opening the Blackbox of Automated Artificial Intelligence with Conditional Parallel Coordinates. CoRR (2019)
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
How can AI Automate End-to-End Data Science? CoRR (2019)
Parikshit Ram, Alexander G. Gray
Fraud Detection with Density Estimation Trees. ADF@KDD (2017)
Dongryeol Lee, Piyush Sao, Richard W. Vuduc, Alexander G. Gray
A distributed kernel summation framework for general-dimension machine learning. Stat. Anal. Data Min. 7 (1) (2014)
Ryan R. Curtin, William B. March, Parikshit Ram, David V. Anderson, Alexander G. Gray, Charles Lee Isbell Jr.
Tree-Independent Dual-Tree Algorithms CoRR (2013)
Ravi Ganti, Alexander G. Gray
Local Support Vector Machines: Formulation and Analysis. CoRR (2013)
Ryan R. Curtin, William B. March, Parikshit Ram, David V. Anderson, Alexander G. Gray, Charles L. Isbell Jr.
Tree-Independent Dual-Tree Algorithms. ICML (3) (2013)
Ryan R. Curtin, James R. Cline, N. P. Slagle, William B. March, Parikshit Ram, Nishant A. Mehta, Alexander G. Gray
MLPACK: a scalable C++ machine learning library. J. Mach. Learn. Res. 14 (1) (2013)
Ryan R. Curtin, Alexander G. Gray, Parikshit Ram
Fast Exact Max-Kernel Search. SDM (2013)
Alexander G. Gray, Hassan A. Kingravi, Patricio A. Vela
Reduced Set KPCA for Improving the Training and Execution Speed of Kernel Machines. SDM (2013)
Kichun Lee, Alexander G. Gray, Heeyoung Kim
Dependence maps, a dimensionality reduction with dependence distance for high-dimensional data. Data Min. Knowl. Discov. 26 (3) (2013)
Parikshit Ram, Alexander G. Gray
Which Space Partitioning Tree to Use for Search? NIPS (2013)
Hua Ouyang, Niao He, Long Q. Tran, Alexander G. Gray
Stochastic Alternating Direction Method of Multipliers. ICML (1) (2013)
Wei Guan, Alexander G. Gray
Sparse high-dimensional fractional-norm support vector machine via DC programming. Comput. Stat. Data Anal. 67 (2013)
Ravi Ganti, Alexander G. Gray
Building Bridges: Viewing Active Learning from the Multi-Armed Bandit Lens. CoRR (2013)
Nishant Ajay Mehta, Alexander G. Gray
Sparsity-Based Generalization Bounds for Predictive Sparse Coding. ICML (1) (2013)
Ravi Ganti, Alexander G. Gray
Building Bridges: Viewing Active Learning from the Multi-Armed Bandit Lens. UAI (2013)
Parikshit Ram, Dongryeol Lee, Alexander G. Gray
Nearest-Neighbor Search on a Time Budget via Max-Margin Trees. SDM (2012)
Dongryeol Lee, Alexander G. Gray
Faster Gaussian Summation: Theory and Experiment. CoRR (2012)
Jacob VanderPlas, Andrew J. Connolly, Zeljko Ivezic, Alexander G. Gray
Introduction to astroML: Machine learning for astrophysics. CIDU (2012)
Nishant A. Mehta, Dongryeol Lee, Alexander G. Gray
Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL CoRR (2012)
Ryan R. Curtin, Parikshit Ram, Alexander G. Gray
Fast Exact Max-Kernel Search CoRR (2012)
William B. March, Andrew J. Connolly, Alexander G. Gray
Fast algorithms for comprehensive n-point correlation estimates. KDD (2012)
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
A Distributed Kernel Summation Framework for General-Dimension Machine Learning. SDM (2012)
Nishant A. Mehta, Alexander G. Gray
On the Sample Complexity of Predictive Sparse Coding CoRR (2012)
Jacqueline Fairley, George K. Georgoulas, Nishant A. Mehta, Alexander G. Gray, Donald L. Bliwise
Computer detection approaches for the identification of phasic electromyographic (EMG) activity during human sleep. Biomed. Signal Process. Control. 7 (6) (2012)
Ryan R. Curtin, James R. Cline, N. P. Slagle, William B. March, Parikshit Ram, Nishant A. Mehta, Alexander G. Gray
MLPACK: A Scalable C++ Machine Learning Library CoRR (2012)
Dongryeol Lee, Arkadas Ozakin, Alexander G. Gray
Multibody multipole methods. J. Comput. Phys. 231 (20) (2012)
Parikshit Ram, Alexander G. Gray
Maximum Inner-Product Search using Tree Data-structures CoRR (2012)
Nishant A. Mehta, Dongryeol Lee, Alexander G. Gray
Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL. NIPS (2012)
Hua Ouyang, Alexander G. Gray
NASA: achieving lower regrets and faster rates via adaptive stepsizes. KDD (2012)
Hua Ouyang, Niao He, Alexander G. Gray
Stochastic ADMM for Nonsmooth Optimization CoRR (2012)
Parikshit Ram, Alexander G. Gray
Maximum inner-product search using cone trees. KDD (2012)
William B. March, Kenneth Czechowski, Marat Dukhan, Thomas Benson, Dongryeol Lee, Andrew J. Connolly, Richard W. Vuduc, Edmond Chow, Alexander G. Gray
Optimizing the computation of n-point correlations on large-scale astronomical data. SC (2012)
Hua Ouyang, Alexander G. Gray
Stochastic Smoothing for Nonsmooth Minimizations: Accelerating SGD by Exploiting Structure CoRR (2012)
Michael P. Holmes, Alexander G. Gray, Charles Lee Isbell Jr.
Fast Nonparametric Conditional Density Estimation CoRR (2012)
Hua Ouyang, Alexander G. Gray
Stochastic Smoothing for Nonsmooth Minimizations: Accelerating SGD by Exploiting Structure. ICML (2012)
Ravi Ganti, Alexander G. Gray
UPAL: Unbiased Pool Based Active Learning. AISTATS (2012)
Sooraj Bhat, Ashish Agarwal, Richard W. Vuduc, Alexander G. Gray
A type theory for probability density functions. POPL (2012)
Dongryeol Lee, Alexander G. Gray, Andrew W. Moore
Dual-Tree Fast Gauss Transforms CoRR (2011)
Dongryeol Lee, Arkadas Ozakin, Alexander G. Gray
Multibody Multipole Methods CoRR (2011)
Parikshit Ram, Alexander G. Gray
Density estimation trees. KDD (2011)
Wei Guan, Arkadas Ozakin, Alexander G. Gray, Jose Borreguero, Shashi Bhushan Pandit, Anna Jagielska, Liliana Wroblewska, Jeffrey Skolnick
Learning Protein Folding Energy Functions. ICDM (2011)
Ravi Ganti, Alexander G. Gray
UPAL: Unbiased Pool Based Active Learning CoRR (2011)
Ravi Sastry Ganti Mahapatruni, Alexander G. Gray
CAKE: Convex Adaptive Kernel Density Estimation. AISTATS (2011)
Hua Ouyang, Alexander G. Gray
Data-Distributed Weighted Majority and Online Mirror Descent CoRR (2011)
Hua Ouyang, Alexander G. Gray
Fast Stochastic Frank-Wolfe Algorithms for Nonlinear SVMs. SDM (2010)
William B. March, Parikshit Ram, Alexander G. Gray
Fast euclidean minimum spanning tree: algorithm, analysis, and applications. KDD (2010)
Nishant A. Mehta, Alexander G. Gray
Generative and Latent Mean Map Kernels CoRR (2010)
Ashish Agarwal, Sooraj Bhat, Alexander G. Gray, Ignacio E. Grossmann
Automating Mathematical Program Transformations. PADL (2010)
Hua Ouyang, Alexander G. Gray
Stochastic Mirror Descent Algorithm for L1-Regularized Risk Minimizations. CIT (2010)
Sooraj Bhat, Ashish Agarwal, Alexander G. Gray, Richard W. Vuduc
Toward interactive statistical modeling. ICCS (1) (2010)
Michael P. Holmes, Alexander G. Gray, Charles Lee Isbell Jr.
Fast kernel conditional density estimation: A dual-tree Monte Carlo approach. Comput. Stat. Data Anal. 54 (7) (2010)
Wei Guan, Manshui Zhou, Christina Y. Hampton, Benedict B. Benigno, L. DeEtte Walker, Alexander G. Gray, John F. McDonald, Facundo M. Fernández
Ovarian cancer detection from metabolomic liquid chromatography/mass spectrometry data by support vector machines. BMC Bioinform. 10 (2009)
Rajesh Narasimha, Hua Ouyang, Alexander G. Gray, Steven W. McLaughlin, Sriram Subramaniam
Automatic joint classification and segmentation of whole cell 3D images. Pattern Recognit. 42 (6) (2009)
Shuang Hao, Nadeem Ahmed Syed, Nick Feamster, Alexander G. Gray, Sven Krasser
Detecting Spammers with SNARE: Spatio-temporal Network-level Automatic Reputation Engine. USENIX Security Symposium (2009)
Parikshit Ram, Dongryeol Lee, William B. March, Alexander G. Gray
Linear-time Algorithms for Pairwise Statistical Problems. NIPS (2009)
Nishant A. Mehta, Alexander G. Gray
FuncICA for Time Series Pattern Discovery. SDM (2009)
Nikolaos Vasiloglou, Alexander G. Gray, David V. Anderson
Non-negative Matrix Factorization, Convexity and Isometry. SDM (2009)
Parikshit Ram, Dongryeol Lee, Hua Ouyang, Alexander G. Gray
Rank-Approximate Nearest Neighbor Search: Retaining Meaning and Speed in High Dimensions. NIPS (2009)
Arkadas Ozakin, Alexander G. Gray
Submanifold density estimation. NIPS (2009)
Hua Ouyang, Alexander G. Gray
Learning dissimilarities by ranking: from SDP to QP. ICML (2008)
Michael P. Holmes, Alexander G. Gray, Charles Lee Isbell Jr.
QUIC-SVD: Fast SVD Using Cosine Trees. NIPS (2008)
Nick Feamster, Alexander G. Gray
Can great research be taught?: independent research with cross-disciplinary thinking and broader impact. SIGCSE (2008)
Nikolaos Vasiloglou, Alexander G. Gray, David V. Anderson
Learning Isometric Separation Maps CoRR (2008)
Dongryeol Lee, Alexander G. Gray
Fast High-dimensional Kernel Summations Using the Monte Carlo Multipole Method. NIPS (2008)

Alexander G. Gray.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Alexander G. Gray