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Learning Massive Graph Embeddings on a Single Machine


Jan 20, 2021
Jason Mohoney, Roger Waleffe, Yiheng Xu, Theodoros Rekatsinas, Shivaram Venkataraman

* Under review 

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Unsupervised Relation Extraction from Language Models using Constrained Cloze Completion


Oct 14, 2020
Ankur Goswami, Akshata Bhat, Hadar Ohana, Theodoros Rekatsinas

* 14 pages, 5 figures, Accepted to Findings of EMNLP 2020 

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Principal Component Networks: Parameter Reduction Early in Training


Jun 23, 2020
Roger Waleffe, Theodoros Rekatsinas


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Record fusion: A learning approach


Jun 18, 2020
Alireza Heidari, George Michalopoulos, Shrinu Kushagra, Ihab F. Ilyas, Theodoros Rekatsinas

* 18 pages, 9 figures 

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An Empirical Analysis of the Impact of Data Augmentation on Knowledge Distillation


Jun 09, 2020
Deepan Das, Haley Massa, Abhimanyu Kulkarni, Theodoros Rekatsinas


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Picket: Self-supervised Data Diagnostics for ML Pipelines


Jun 08, 2020
Zifan Liu, Zhechun Zhou, Theodoros Rekatsinas

* 14 pages, 10 figures 

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Robust Mean Estimation under Coordinate-level Corruption


Feb 10, 2020
Zifan Liu, Jongho Park, Nils Palumbo, Theodoros Rekatsinas, Christos Tzamos

* 16 pages, 3 figures 

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Fine-Grained Object Detection over Scientific Document Images with Region Embeddings


Oct 30, 2019
Ankur Goswami, Joshua McGrath, Shanan Peters, Theodoros Rekatsinas


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Approximate Inference in Structured Instances with Noisy Categorical Observations


Jul 06, 2019
Alireza Heidari, Ihab F. Ilyas, Theodoros Rekatsinas

* UAI 2019, 33 pages 

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Data-Dependent Differentially Private Parameter Learning for Directed Graphical Models


May 30, 2019
Amrita Roy Chowdhury, Theodoros Rekatsinas, Somesh Jha


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Learning Functional Dependencies with Sparse Regression


May 04, 2019
Zhihan Guo, Theodoros Rekatsinas


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SysML: The New Frontier of Machine Learning Systems


May 01, 2019
Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Jennifer Chayes, Eric Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros Dimakis, Pradeep Dubey, Charles Elkan, Grigori Fursin, Gregory R. Ganger, Lise Getoor, Phillip B. Gibbons, Garth A. Gibson, Joseph E. Gonzalez, Justin Gottschlich, Song Han, Kim Hazelwood, Furong Huang, Martin Jaggi, Kevin Jamieson, Michael I. Jordan, Gauri Joshi, Rania Khalaf, Jason Knight, Jakub Konečný, Tim Kraska, Arun Kumar, Anastasios Kyrillidis, Aparna Lakshmiratan, Jing Li, Samuel Madden, H. Brendan McMahan, Erik Meijer, Ioannis Mitliagkas, Rajat Monga, Derek Murray, Kunle Olukotun, Dimitris Papailiopoulos, Gennady Pekhimenko, Theodoros Rekatsinas, Afshin Rostamizadeh, Christopher Ré, Christopher De Sa, Hanie Sedghi, Siddhartha Sen, Virginia Smith, Alex Smola, Dawn Song, Evan Sparks, Ion Stoica, Vivienne Sze, Madeleine Udell, Joaquin Vanschoren, Shivaram Venkataraman, Rashmi Vinayak, Markus Weimer, Andrew Gordon Wilson, Eric Xing, Matei Zaharia, Ce Zhang, Ameet Talwalkar


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Multi-relational Learning Using Weighted Tensor Decomposition with Modular Loss


May 31, 2013
Ben London, Theodoros Rekatsinas, Bert Huang, Lise Getoor


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