Alexander G. Gray

William B. March, Alexander G. Gray, Richard W. Vuduc, 2012, 2012 International Conference for High Performance Computing, Networking, Storage and Analysis.

Nonparametric Density Estimation: Toward Computational Tractability

Andrew W. Moore, Alexander G. Gray, A. Moore, 2003, SDM.

Fraud Detection with Density Estimation Trees

Parikshit Ram, Alexander G. Gray, P. Ram, 2017, ADF@KDD.

Multi-Tree Methods for Statistics on Very Large Datasets in Astronomy

Andrew W. Moore, Alexander G. Gray, Andrew J. Connolly, 2004 .

How can AI Automate End-to-End Data Science? pdf

Charu C. Aggarwal, Parikshit Ram, Alexander G. Gray, 2019, ArXiv.

Ultrafast Monte Carlo for Statistical Summations

Alexander G. Gray, Charles Lee Isbell, Michael P. Holmes, 2007, NIPS.

Alexander G. Gray, Hua Ouyang, 2008, ICML '08.

A I ] 2 2 A pr 2 00 9 Non-Negative Matrix Factorization , Convexity and Isometry ∗ Nikolaos Vasiloglou pdf

Alexander G. Gray, David V. Anderson, Nikolaos Vasiloglou, 2009 .

An Integrated System for Multi-Rover Scientific Exploration

Alexander G. Gray, Tara A. Estlin, Eric Mjolsness, 1999, AAAI/IAAI.

A Distributed Kernel Summation Framework for General-Dimension Machine Learning

Alexander G. Gray, Richard W. Vuduc, Dongryeol Lee, 2012, SDM.

Fast Exact Max-Kernel Search

Parikshit Ram, Alexander G. Gray, Ryan R. Curtin, 2012, SDM.

Multibody multipole methods pdf

Alexander G. Gray, Dongryeol Lee, Arkadas Ozakin, 2011, J. Comput. Phys..

Stochastic Alternating Direction Method of Multipliers

Alexander G. Gray, Hua Ouyang, Niao He, 2013, ICML.

Toward interactive statistical modeling

Alexander G. Gray, Richard W. Vuduc, Ashish Agarwal, 2010, ICCS.

Automatic Derivation of Statistical Algorithms: The EM Family and Beyond

Alexander G. Gray, Johann Schumann, Wray L. Buntine, 2002, NIPS.

A distributed kernel summation framework for general‐dimension machine learning

Alexander G. Gray, Richard W. Vuduc, Dongryeol Lee, 2014, Stat. Anal. Data Min..

Rapid Evaluation of Multiple Density Models

Andrew W. Moore, Alexander G. Gray, A. Moore, 2003, AISTATS.

A type theory for probability density functions

Alexander G. Gray, Richard W. Vuduc, Ashish Agarwal, 2012, POPL '12.

Fast Mean Shift with Accurate and Stable Convergence

Alexander G. Gray, James M. Rehg, Dongryeol Lee, 2007, AISTATS.

Maximum Inner-Product Search using Tree Data-structures pdf

Parikshit Ram, Alexander G. Gray, 2012, ArXiv.

Fast kernel conditional density estimation: A dual-tree Monte Carlo approach

Alexander G. Gray, Charles Lee Isbell, Michael P. Holmes, 2010, Comput. Stat. Data Anal..

Analysis of Digital POSS-II Catalogs Using Hierarchical Unsupervised Learning Algorithms

Alexander G. Gray, Usama Fayyad, S. George Djorgovski, 1996 .

Building Bridges: Viewing Active Learning from the Multi-Armed Bandit Lens pdf

Alexander G. Gray, Ravi Ganti, R. Ganti, 2013, UAI.

Dependence maps, a dimensionality reduction with dependence distance for high-dimensional data

Alexander G. Gray, Heeyoung Kim, Kichun Lee, 2013, Data Mining and Knowledge Discovery.

Introduction to astroML: Machine learning for astrophysics

Alexander G. Gray, Andrew J. Connolly, Zeljko Ivezic, 2012, 2012 Conference on Intelligent Data Understanding.

FuncICA for Time Series Pattern Discovery

Alexander G. Gray, Nishant A. Mehta, 2009, SDM.

Local Support Vector Machines: Formulation and Analysis pdf

Alexander G. Gray, Ravi Ganti, 2013, ArXiv.

Learning the Intrinsic Dimensions of the Timit Speech Database with Maximum Variance Unfolding

Alexander G. Gray, David V. Anderson, Nikolaos Vasiloglou, 2009, 2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop.

Linear-time Algorithms for Pairwise Statistical Problems

William B. March, Parikshit Ram, Alexander G. Gray, 2009, NIPS.

Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL

Alexander G. Gray, Dongryeol Lee, Nishant A. Mehta, 2012, NIPS.

Automated Design of Quantum Circuits

Alexander G. Gray, Colin P. Williams, 1998, QCQC.

Tree-Independent Dual-Tree Algorithms pdf

William B. March, Parikshit Ram, Alexander G. Gray, 2013, ICML.

Computer detection approaches for the identification of phasic electromyographic (EMG) activity during human sleep

Alexander G. Gray, George K. Georgoulas, Nishant A. Mehta, 2012, Biomed. Signal Process. Control..

CAKE: Convex Adaptive Kernel Density Estimation

Alexander G. Gray, Ravi Ganti, 2011, AISTATS.

A Semantic Parsing and Reasoning-Based Approach to Knowledge Base Question Answering

Alexander G. Gray, Pavan Kapanipathi, Salim Roukos, 2021, AAAI.

A Semantics-aware Transformer Model of Relation Linking for Knowledge Base Question Answering

Alexander G. Gray, Alfio Gliozzo, Pavan Kapanipathi, 2021, ACL.

Efficient exact k-NN and nonparametric classification in high dimensions

Alexander G. Gray, A. Moore, Ting Liu, 2003, NIPS 2003.

Fast kernel matrix-vector multiplication with application to Gaussian process learning

Alexander G. Gray, 2004 .

A Formal Method for AutoML via ADMM

Alexander G. Gray, A. Conn, Sijia Liu, 2019, 1905.00424.

A Parallel N-Body Data Mining Framework

Alexander G. Gray, Garrett F. Boyer, Ryan Riegel, 2007 .

Rapid Mass Spectrometric Metabolic Profiling of Blood Sera Detects Ovarian Cancer with High Accuracy

Alexander G. Gray, F. Fernández, J. McDonald, 2010, Cancer Epidemiology, Biomarkers & Prevention.

Efficient photometric selection of quasars from the sloan digital sky survey: 100,000 z < 3 quasars from data release one

Alexander G. Gray, Alexander S. Szalay, Robert J. Brunner, 2004 .

EFFICIENT PHOTOMETRIC SELECTION OF QUASARS FROM THE SLOAN DIGITAL SKY SURVEY. II. ∼1, 000, 000 QUASARS FROM DATA RELEASE 6

Alexander G. Gray, Robert J. Brunner, Robert C. Nichol, 2004, The Astrophysical Journal Supplement Series.

First Measurement of the Clustering Evolution of Photometrically Classified Quasars

Alexander G. Gray, Robert J. Brunner, Adam D. Myers, 2005, astro-ph/0510371.

Ultrafast Monte Carlo for kernel estimators and generalized statistical summations

Alexander G. Gray, Charles L. Isbell, Michael P. Holmes, 2007, NIPS 2007.

Towards an Objectively Defined Catalog of Galaxy Clusters from the Digitized POSS-II

Alexander G. Gray, Roy R. Gal, R. D. Carvalho, 1997 .

EIGHT-DIMENSIONAL MID-INFRARED/OPTICAL BAYESIAN QUASAR SELECTION

Alexander G. Gray, Robert J. Brunner, Adam D. Myers, 2008, 0810.3567.

High redshift detection of the integrated Sachs-Wolfe effect

Alexander G. Gray, Robert J. Brunner, Adam D. Myers, 2006 .

Detecting Spammers with SNARE: Spatio-temporal Network-level Automatic Reputation Engine

Alexander G. Gray, N. Feamster, S. Hao, 2009, USENIX Security Symposium.

Combining Rules and Embeddings via Neuro-Symbolic AI for Knowledge Base Completion pdf

Alexander G. Gray, Prithviraj Sen, Salim Roukos, 2021, ArXiv.

Non-negative Matrix Factorization, Convexity and Isometry

Alexander G. Gray, David V. Anderson, N. Vasiloglou, 2008, SDM.

High redshift detection of the integrated Sachs-Wolfe effect

Alexander G. Gray, A. Myers, R. Nichol, 2006, astro-ph/0607572.

Foundations of Reasoning with Uncertainty via Real-valued Logics

Alexander G. Gray, Ronald Fagin, Ryan Riegel, 2020, ArXiv.

AutoAIViz: opening the blackbox of automated artificial intelligence with conditional parallel coordinates

Alexander G. Gray, Justin D. Weisz, Michael J. Muller, 2019, IUI.

Training Logical Neural Networks by Primal–Dual Methods for Neuro-Symbolic Reasoning

Alexander G. Gray, L. Horesh, Ryan Riegel, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Index to the Mathematical Gazette

Alexander G. Gray, I. Grattan-Guinness, M. Eggar, 2000, The Mathematical Gazette.

Toward Theoretical Guidance for Two Common Questions in Practical Cross-Validation based Hyperparameter Selection

Alexander G. Gray, Horst Samulowitz, P. Ram, 2023, 2301.05131.

Feasibility of detecting prostate cancer by ultraperformance liquid chromatography-mass spectrometry serum metabolomics.

Alexander G. Gray, Roman Mezencev, Alexander Gray, 2014, Journal of proteome research.

Logical Credal Networks pdf

Alexander G. Gray, Radu Marinescu, Francisco Barahona, 2021, NeurIPS.

Significant increases in potato Starch-Synthase and Starch-Branching-Enzyme activities by dilution with buffer containing dithiothreitol and polyvinyl alcohol 50 K.

Alexander G. Gray, J. Robyt, R. Mukerjea, 2013, Carbohydrate research.

Logical Neural Networks pdf

Alexander G. Gray, Ronald Fagin, Shajith Ikbal, 2020, ArXiv.

Highly-accurate metabolomic detection of early-stage ovarian cancer

Alexander G. Gray, John F. McDonald, Roman Mezencev, 2015, Scientific Reports.

Large-Scale Kernel Discriminant Analysis with Application to Quasar Discovery

Alexander G. Gray, Ryan Riegel, Alexander Gray, 2006 .

An ADMM Based Framework for AutoML Pipeline Configuration

Alexander G. Gray, A. Conn, Sijia Liu, 2019, AAAI.

Question Answering over Knowledge Bases by Leveraging Semantic Parsing and Neuro-Symbolic Reasoning pdf

Alexander G. Gray, Ramón Fernández Astudillo, Young-Suk Lee, 2020, ArXiv.

Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks pdf

Alexander G. Gray, Prithviraj Sen, Ryan Riegel, 2021, AAAI.

Logical Neural Networks for Knowledge Base Completion with Embeddings & Rules

Alexander G. Gray, S. Roukos, I. Abdelaziz, 2022, Conference on Empirical Methods in Natural Language Processing.

LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking

Alexander G. Gray, Prithviraj Sen, Yunyao Li, 2021, ACL.

Leveraging Abstract Meaning Representation for Knowledge Base Question Answering

Alexander G. Gray, Ramón Fernández Astudillo, Achille Fokoue, 2020, FINDINGS.

Neuro-Symbolic Reinforcement Learning with First-Order Logic

Alexander G. Gray, Don Joven Agravante, Asim Munawar, 2021, EMNLP.

Multitree Algorithms for Large-Scale Astrostatistics

William B. March, Alexander G. Gray, Dongryeol Lee, 2012 .

Fast euclidean minimum spanning tree: algorithm, analysis, and applications

William B. March, Alexander G. Gray, P. Ram, 2010, KDD.

Leveraging Semantic Parsing for Relation Linking over Knowledge Bases

Alexander G. Gray, S. Roukos, Mo Yu, 2020, SEMWEB.

A study of the conducivness of the culture at Freeworld Automotive Coatings to the implementation of lean maunfacturing techniques

Alexander G. Gray, Alexander George Gray, 2008 .

SYGMA: A System for Generalizable and Modular Question Answering Over Knowledge Bases

Alexander G. Gray, L. V. Subramaniam, Rosario A. Uceda-Sosa, 2022, EMNLP.

SYGMA: System for Generalizable Modular Question Answering OverKnowledge Bases pdf

Alexander G. Gray, Achille Fokoue, Dinesh Garg, 2021, ArXiv.

A globally deployable strategy for co-development of adaptation preferences to sea-level rise: the public participation case of Santos, Brazil

Alexander G. Gray, Shona K. Paterson, M. Pelling, 2017, Natural Hazards.

Logic Embeddings for Complex Query Answering pdf

Alexander G. Gray, Prithviraj Sen, Pavan Kapanipathi, 2021, ArXiv.

Drotrecogin alfa (activated) in severe falciparum malaria

Alexander G. Gray, B. Kendrick, A. Pickworth, 2006, Anaesthesia.

Nonparametric Density Estimation: Toward Computational Tractability

Alexander G. Gray, A. Moore, 2003, SDM.

X-FACTOR: A Cross-metric Evaluation of Factual Correctness in Abstractive Summarization

Alexander G. Gray, K. Murugesan, Daiki Kimura, 2022, EMNLP.

Scalable Learning of Latent Language Structure With Logical Offline Cycle Consistency

Alexander G. Gray, Ramón Fernández Astudillo, S. Roukos, 2023, ArXiv.

Zero-shot Entity Linking with Less Data

Alexander G. Gray, L. V. Subramaniam, S. Roukos, 2022, NAACL-HLT.

Reinforcement Learning with External Knowledge by using Logical Neural Networks pdf

Alexander G. Gray, Asim Munawar, Michiaki Tatsubori, 2021, ArXiv.

Dual-Tree Fast Gauss Transforms

Alexander G. Gray, A. Moore, Dongryeol Lee, 2005, NIPS.

Approximate Inference in Logical Credal Networks

Alexander G. Gray, F. Barahona, Radu Marinescu, 2023, IJCAI.

Detecting Spammers with SNARE: Spatio-temporal Network-level Automatic Reputation Engine

Alexander G. Gray, N. Feamster, S. Hao, 2009, USENIX Security Symposium.

UPAL: Unbiased Pool Based Active Learning

Alexander G. Gray, R. Ganti, 2011, AISTATS.

The pleckstrin homology domains of protein kinase B and GRP1 (general receptor for phosphoinositides-1) are sensitive and selective probes for the cellular detection of phosphatidylinositol 3,4-bisphosphate and/or phosphatidylinositol 3,4,5-trisphosphate in vivo.

Alexander G. Gray, J. van der Kaay, C. Downes, 1999, The Biochemical journal.

Fast euclidean minimum spanning tree: algorithm, analysis, and applications

William B. March, Alexander G. Gray, Parikshit Ram, 2010, KDD.

MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types

Alexander G. Gray, S. Roukos, I. Abdelaziz, 2023, ACL.

Rapid Evaluation of Multiple Density Models

Alexander G. Gray, A. Moore, 2003, AISTATS.