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Alexandre V. Evfimievski
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- affiliation: Cornell University, Ithaca, USA
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2020 – today
- 2023
- [i4]KrishnaTeja Killamsetty, Alexandre V. Evfimievski, Tejaswini Pedapati, Kiran Kate, Lucian Popa, Rishabh K. Iyer:
MILO: Model-Agnostic Subset Selection Framework for Efficient Model Training and Tuning. CoRR abs/2301.13287 (2023) - 2022
- [c15]KrishnaTeja Killamsetty, Guttu Sai Abhishek, Aakriti, Ganesh Ramakrishnan, Alexandre V. Evfimievski, Lucian Popa, Rishabh K. Iyer:
AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning. NeurIPS 2022 - [i3]KrishnaTeja Killamsetty, Guttu Sai Abhishek, Aakriti, Alexandre V. Evfimievski, Lucian Popa, Ganesh Ramakrishnan, Rishabh K. Iyer:
AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning. CoRR abs/2203.08212 (2022) - 2021
- [c14]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:
AutoText: An End-to-End AutoAI Framework for Text. AAAI 2021: 16001-16003 - 2020
- [j9]Doug Burdick, Marina Danilevsky, Alexandre V. Evfimievski, Yannis Katsis, Nancy Xin Ru Wang:
Table Extraction and Understanding for Scientific and Enterprise Applications. Proc. VLDB Endow. 13(12): 3433-3436 (2020)
2010 – 2019
- 2019
- [c13]Matthias Boehm, Alexandre V. Evfimievski, Berthold Reinwald:
Efficient Data-Parallel Cumulative Aggregates for Large-Scale Machine Learning. BTW 2019: 267-286 - [c12]Johanna Sommer, Matthias Boehm, Alexandre V. Evfimievski, Berthold Reinwald, Peter J. Haas:
MNC: Structure-Exploiting Sparsity Estimation for Matrix Expressions. SIGMOD Conference 2019: 1607-1623 - 2018
- [j8]Matthias Boehm, Berthold Reinwald, Dylan Hutchison, Prithviraj Sen, Alexandre V. Evfimievski, Niketan Pansare:
On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML. Proc. VLDB Endow. 11(12): 1755-1768 (2018) - [i2]Matthias Boehm, Berthold Reinwald, Dylan Hutchison, Alexandre V. Evfimievski, Prithviraj Sen:
On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML. CoRR abs/1801.00829 (2018) - 2017
- [c11]Tarek Elgamal, Shangyu Luo, Matthias Boehm, Alexandre V. Evfimievski, Shirish Tatikonda, Berthold Reinwald, Prithviraj Sen:
SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning. CIDR 2017 - [c10]Xilun Chen, Laura Chiticariu, Marina Danilevsky, Alexandre V. Evfimievski, Prithviraj Sen:
A Rectangle Mining Method for Understanding the Semantics of Financial Tables. ICDAR 2017: 268-273 - 2016
- [j7]Matthias Boehm, Michael Dusenberry, Deron Eriksson, Alexandre V. Evfimievski, Faraz Makari Manshadi, Niketan Pansare, Berthold Reinwald, Frederick Reiss, Prithviraj Sen, Arvind Surve, Shirish Tatikonda:
SystemML: Declarative Machine Learning on Spark. Proc. VLDB Endow. 9(13): 1425-1436 (2016) - [i1]Matthias Boehm, Alexandre V. Evfimievski, Niketan Pansare, Berthold Reinwald:
Declarative Machine Learning - A Classification of Basic Properties and Types. CoRR abs/1605.05826 (2016) - 2015
- [c9]Sebastian Schelter, Juan Soto, Volker Markl, Douglas Burdick, Berthold Reinwald, Alexandre V. Evfimievski:
Efficient sample generation for scalable meta learning. ICDE 2015: 1191-1202 - 2014
- [j6]Matthias Böhm, Douglas R. Burdick, Alexandre V. Evfimievski, Berthold Reinwald, Frederick R. Reiss, Prithviraj Sen, Shirish Tatikonda, Yuanyuan Tian:
SystemML's Optimizer: Plan Generation for Large-Scale Machine Learning Programs. IEEE Data Eng. Bull. 37(3): 52-62 (2014) - [c8]Douglas Burdick, Alexandre V. Evfimievski, Rajasekar Krishnamurthy, Neal Lewis, Lucian Popa, Scott Rickards, Peter R. Williams:
Financial Analytics from Public Data. DSMM 2014: 4:1-4:6 - 2013
- [c7]Matthias Boehm, Douglas Burdick, Alexandre V. Evfimievski, Berthold Reinwald, Prithviraj Sen, Shirish Tatikonda, Yuanyuan Tian:
Compiling machine learning algorithms with SystemML. SoCC 2013: 57:1 - 2011
- [j5]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:
Information technology for healthcare transformation. IBM J. Res. Dev. 55(5): 6 (2011) - 2010
- [j4]Alexandre V. Evfimievski, Ronald Fagin, David P. Woodruff:
Epistemic privacy. J. ACM 58(1): 2:1-2:45 (2010)
2000 – 2009
- 2008
- [c6]Alexandre V. Evfimievski, Ronald Fagin, David P. Woodruff:
Epistemic privacy. PODS 2008: 171-180 - 2007
- [c5]Rakesh Agrawal, Alexandre V. Evfimievski, Jerry Kiernan, Raja Velu:
Auditing disclosure by relevance ranking. SIGMOD Conference 2007: 79-90 - 2004
- [b1]Alexandre V. Evfimievski:
Privacy Preserving Information Sharing. Cornell University, USA, 2004 - [j3]Alexandre V. Evfimievski, Ramakrishnan Srikant, Rakesh Agrawal, Johannes Gehrke:
Privacy preserving mining of association rules. Inf. Syst. 29(4): 343-364 (2004) - 2003
- [c4]Alexandre V. Evfimievski, Johannes Gehrke, Ramakrishnan Srikant:
Limiting privacy breaches in privacy preserving data mining. PODS 2003: 211-222 - [c3]Rakesh Agrawal, Alexandre V. Evfimievski, Ramakrishnan Srikant:
Information Sharing Across Private Databases. SIGMOD Conference 2003: 86-97 - 2002
- [j2]Alexandre V. Evfimievski:
Randomization in Privacy-Preserving Data Mining. SIGKDD Explor. 4(2): 43-48 (2002) - [c2]Alexandre V. Evfimievski, Ramakrishnan Srikant, Rakesh Agrawal, Johannes Gehrke:
Privacy preserving mining of association rules. KDD 2002: 217-228 - 2000
- [j1]Alexandre V. Evfimievski:
A probabilistic algorithm for updating files over a communication link. Theor. Comput. Sci. 233(1-2): 191-199 (2000)
1990 – 1999
- 1998
- [c1]Alexandre V. Evfimievski:
A Probabilistic Algorithm for Updating Files over a Communication Link. SODA 1998: 300-305
Coauthor Index
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