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


Jun 17, 2021
Hang Jiang, Sairam Gurajada, Qiuhao Lu, Sumit Neelam, Lucian Popa, Prithviraj Sen, Yunyao Li, Alexander Gray

* Accepted to ACL 2021 

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Reinforcement Learning with External Knowledge by using Logical Neural Networks


Mar 03, 2021
Daiki Kimura, Subhajit Chaudhury, Akifumi Wachi, Ryosuke Kohita, Asim Munawar, Michiaki Tatsubori, Alexander Gray

* KBRL Workshop at IJCAI-PRICAI 2020 

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Logic Embeddings for Complex Query Answering


Feb 28, 2021
Francois Luus, Prithviraj Sen, Pavan Kapanipathi, Ryan Riegel, Ndivhuwo Makondo, Thabang Lebese, Alexander Gray

* IBM Research 

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


Dec 03, 2020
Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Salim Roukos, Alexander Gray, Ramon 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 Luus, Ndivhuwo Makondo, Nandana Mihindukulasooriya, Tahira Naseem, Sumit Neelam, Lucian Popa, Revanth Reddy, Ryan Riegel, Gaetano Rossiello, Udit Sharma, G P Shrivatsa Bhargav, Mo Yu


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Leveraging Semantic Parsing for Relation Linking over Knowledge Bases


Sep 16, 2020
Nandana Mihindukulasooriya, Gaetano Rossiello, Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Mo Yu, Alfio Gliozzo, Salim Roukos, Alexander Gray

* Accepted at the 19th International Semantic Web Conference (ISWC 2020) 

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Foundations of Reasoning with Uncertainty via Real-valued Logics


Aug 06, 2020
Ronald Fagin, Ryan Riegel, Alexander Gray

* 9 pages (incl. references), 9 pages supplementary. In submission to NeurIPS 2020 

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Logical Neural Networks


Jun 23, 2020
Ryan Riegel, Alexander Gray, Francois 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 Srivastava

* 10 pages (incl. references), 38 pages supplementary, 7 figures, 9 tables, 6 algorithms. In submission to NeurIPS 2020 

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AutoAIViz: Opening the Blackbox of Automated Artificial Intelligence with Conditional Parallel Coordinates


Jan 17, 2020
Daniel Karl I. Weidele, Justin D. Weisz, Eno Oduor, Michael Muller, Josh Andres, Alexander Gray, Dakuo Wang

* 5 pages, 1 figure, IUI2020 

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


Oct 22, 2019
Charu Aggarwal, Djallel Bouneffouf, Horst Samulowitz, Beat Buesser, Thanh Hoang, Udayan Khurana, Sijia Liu, Tejaswini Pedapati, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Alexander Gray


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Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI


Sep 05, 2019
Dakuo Wang, Justin D. Weisz, Michael Muller, Parikshit Ram, Werner Geyer, Casey Dugan, Yla Tausczik, Horst Samulowitz, Alexander Gray


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Automated Machine Learning via ADMM


May 01, 2019
Sijia Liu, Parikshit Ram, Djallel Bouneffouf, Gregory Bramble, Andrew R Conn, Horst Samulowitz, Alexander Gray


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Local Support Vector Machines:Formulation and Analysis


Sep 14, 2013
Ravi Ganti, Alexander Gray

* 12 pages, 1 figure 

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Stochastic ADMM for Nonsmooth Optimization


Jan 22, 2013
Hua Ouyang, Niao He, Alexander Gray

* A short version of this paper appears in the 5th NIPS Workshop on Optimization for Machine Learning, Lake Tahoe, Nevada, USA, 2012 

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Stochastic Smoothing for Nonsmooth Minimizations: Accelerating SGD by Exploiting Structure


Oct 01, 2012
Hua Ouyang, Alexander Gray

* Full length version of ICML'12 with all proofs. In this version, a bug in proving Theorem 6 is fixed. We'd like to thank Dr. Francesco Orabona for pointing it out 

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UPAL: Unbiased Pool Based Active Learning


Nov 13, 2011
Ravi Ganti, Alexander Gray

* 20 pages, 4 figures, 2 tables, a few minor typos were corrected 

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Data-Distributed Weighted Majority and Online Mirror Descent


May 11, 2011
Hua Ouyang, Alexander Gray


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