Alexandre V. Evfimievski

According to our database, Alexandre V. Evfimievski authored at least 26 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

RAG-ConfusionQA: A Benchmark for Evaluating LLMs on Confusing Questions.

Zhiyuan Peng, Jinming Nian, Alexandre V. Evfimievski, Yi Fang

CoRR, 2024

2023

MILO: Model-Agnostic Subset Selection Framework for Efficient Model Training and Tuning.

KrishnaTeja Killamsetty, Alexandre V. Evfimievski, Tejaswini Pedapati, Kiran Kate, Lucian Popa, Rishabh K. Iyer

CoRR, 2023

2022

AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning.

KrishnaTeja Killamsetty, Guttu Sai Abhishek, Aakriti, Ganesh Ramakrishnan, Alexandre V. Evfimievski, Lucian Popa, Rishabh K. Iyer

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

AutoText: An End-to-End AutoAI Framework for Text.

Arunima Chaudhary, Alayt Issak, Kiran Kate, Yannis Katsis, Abel N. Valente, Dakuo Wang, Alexandre V. Evfimievski, Sairam Gurajada, Ban Kawas, A. Cristiano I. Malossi, Lucian Popa, Tejaswini Pedapati, Horst Samulowitz, Martin Wistuba, Yunyao Li

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Table Extraction and Understanding for Scientific and Enterprise Applications.

Doug Burdick, Marina Danilevsky, Alexandre V. Evfimievski, Yannis Katsis, Nancy Xin Ru Wang

Proc. VLDB Endow., 2020

2019

MNC: Structure-Exploiting Sparsity Estimation for Matrix Expressions.

Johanna Sommer, Matthias Boehm, Alexandre V. Evfimievski, Berthold Reinwald, Peter J. Haas

Proceedings of the 2019 International Conference on Management of Data, 2019

Efficient Data-Parallel Cumulative Aggregates for Large-Scale Machine Learning.

Matthias Boehm, Alexandre V. Evfimievski, Berthold Reinwald

Proceedings of the Datenbanksysteme für Business, 2019

2018

On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML.

Matthias Boehm, Berthold Reinwald, Dylan Hutchison, Prithviraj Sen, Alexandre V. Evfimievski, Niketan Pansare

Proc. VLDB Endow., 2018

On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML.

Matthias Boehm, Berthold Reinwald, Dylan Hutchison, Alexandre V. Evfimievski, Prithviraj Sen

CoRR, 2018

2017

A Rectangle Mining Method for Understanding the Semantics of Financial Tables.

Xilun Chen, Laura Chiticariu, Marina Danilevsky, Alexandre V. Evfimievski, Prithviraj Sen

Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017

SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning.

Tarek Elgamal, Shangyu Luo, Matthias Boehm, Alexandre V. Evfimievski, Shirish Tatikonda, Berthold Reinwald, Prithviraj Sen

Proceedings of the 8th Biennial Conference on Innovative Data Systems Research, 2017

2016

SystemML: Declarative Machine Learning on Spark.

Matthias Boehm, Michael Dusenberry, Deron Eriksson, Alexandre V. Evfimievski, Faraz Makari Manshadi, Niketan Pansare, Berthold Reinwald, Frederick Reiss, Prithviraj Sen, Arvind Surve, Shirish Tatikonda

Proc. VLDB Endow., 2016

Declarative Machine Learning - A Classification of Basic Properties and Types.

Matthias Boehm, Alexandre V. Evfimievski, Niketan Pansare, Berthold Reinwald

CoRR, 2016

2015

Efficient sample generation for scalable meta learning.

Sebastian Schelter, Juan Soto, Volker Markl, Douglas Burdick, Berthold Reinwald, Alexandre V. Evfimievski

Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

2014

SystemML's Optimizer: Plan Generation for Large-Scale Machine Learning Programs.

Matthias Böhm, Douglas R. Burdick, Alexandre V. Evfimievski, Berthold Reinwald, Frederick R. Reiss, Prithviraj Sen, Shirish Tatikonda, Yuanyuan Tian

IEEE Data Eng. Bull., 2014

Financial Analytics from Public Data.

Douglas Burdick, Alexandre V. Evfimievski, Rajasekar Krishnamurthy, Neal Lewis, Lucian Popa, Scott Rickards, Peter R. Williams

Proceedings of the International Workshop on Data Science for Macro-Modeling, 2014

2013

Compiling machine learning algorithms with SystemML.

Matthias Boehm, Douglas Burdick, Alexandre V. Evfimievski, Berthold Reinwald, Prithviraj Sen, Shirish Tatikonda, Yuanyuan Tian

Proceedings of the ACM Symposium on Cloud Computing, SOCC '13, 2013

2011

Information technology for healthcare transformation.

Joseph P. Bigus, Murray Campbell, Boaz Carmeli, Melissa Cefkin, Henry Chang, Ching-Hua Chen-Ritzo, William F. Cody, Shahram Ebadollahi, Alexandre V. Evfimievski, Ariel Farkash, Susanne Glissmann, David Gotz, Tyrone Grandison, Daniel Gruhl, Peter J. Haas, Mark J. H. Hsiao, Pei-Yun Sabrina Hsueh, Jianying Hu, Joseph M. Jasinski, James H. Kaufman, Cheryl A. Kieliszewski, Martin S. Kohn, Sarah E. Knoop, Paul P. Maglio, Ronald L. Mak, Haim Nelken, Chalapathy Neti, Hani Neuvirth, Yue Pan, Yardena Peres, Sreeram Ramakrishnan, Michal Rosen-Zvi, Sondra R. Renly, Pat Selinger, Amnon Shabo, Robert Sorrentino, Jimeng Sun, Tanveer Fathima Syeda-Mahmood, Wang Chiew Tan, Ying Y. Y. Tao, Reza Yaesoubi, Xinxin Zhu

IBM J. Res. Dev., 2011

2010

Epistemic privacy.

Alexandre V. Evfimievski, Ronald Fagin, David P. Woodruff

J. ACM, 2010

2007

Auditing disclosure by relevance ranking.

Rakesh Agrawal, Alexandre V. Evfimievski, Jerry Kiernan, Raja Velu

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2007

2004

Privacy Preserving Information Sharing.

Alexandre V. Evfimievski

PhD thesis, 2004

Privacy preserving mining of association rules.

Alexandre V. Evfimievski, Ramakrishnan Srikant, Rakesh Agrawal, Johannes Gehrke

Inf. Syst., 2004

2003

Information Sharing Across Private Databases.

Rakesh Agrawal, Alexandre V. Evfimievski, Ramakrishnan Srikant

Proceedings of the 2003 ACM SIGMOD International Conference on Management of Data, 2003

Limiting privacy breaches in privacy preserving data mining.

Alexandre V. Evfimievski, Johannes Gehrke, Ramakrishnan Srikant

Proceedings of the Twenty-Second ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 2003

2002

Randomization in Privacy-Preserving Data Mining.

Alexandre V. Evfimievski

SIGKDD Explor., 2002

2000

A probabilistic algorithm for updating files over a communication link.

Alexandre V. Evfimievski

Theor. Comput. Sci., 2000