Alexandre V. Evfimievski

31 papers A* 8A 2Misc 1Journal 14Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	ELOQ: Resources for Enhancing LLM Detection of Out-of-Scope Questions. SIGIR Zhiyuan Peng, Jinming Nian, Alexandre V. Evfimievski, Yi Fang
2024	J	`jnl`	RAG-ConfusionQA: A Benchmark for Evaluating LLMs on Confusing Questions. CoRR Zhiyuan Peng, Jinming Nian, Alexandre V. Evfimievski, Yi Fang
2023	J	`jnl`	MILO: Model-Agnostic Subset Selection Framework for Efficient Model Training and Tuning. CoRR Krishnateja Killamsetty, Alexandre V. Evfimievski, Tejaswini Pedapati, Kiran Kate, Lucian Popa, Rishabh K. Iyer
2022	A*	`conf`	AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning. NeurIPS Krishnateja Killamsetty, Guttu Sai Abhishek, Aakriti, Ganesh Ramakrishnan, Alexandre V. Evfimievski, Lucian Popa, Rishabh K. Iyer
2022	J	`jnl`	AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning. CoRR Krishnateja Killamsetty, Guttu Sai Abhishek, Aakriti, Alexandre V. Evfimievski, Lucian Popa, Ganesh Ramakrishnan, Rishabh K. Iyer
2021	A*	`conf`	AutoText: An End-to-End AutoAI Framework for Text. AAAI 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
2020	J	`jnl`	Table Extraction and Understanding for Scientific and Enterprise Applications. Proc. VLDB Endow. Doug Burdick, Marina Danilevsky, Alexandre V. Evfimievski, Yannis Katsis, Nancy Xin Ru Wang
2019	Misc	`conf`	Efficient Data-Parallel Cumulative Aggregates for Large-Scale Machine Learning. BTW Matthias Boehm, Alexandre V. Evfimievski, Berthold Reinwald
2019	—	`conf`	MNC: Structure-Exploiting Sparsity Estimation for Matrix Expressions. SIGMOD Conference Johanna Sommer, Matthias Boehm, Alexandre V. Evfimievski, Berthold Reinwald, Peter J. Haas
2018	J	`jnl`	On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML. CoRR Matthias Boehm, Berthold Reinwald, Dylan Hutchison, Alexandre V. Evfimievski, Prithviraj Sen
2018	J	`jnl`	On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML. Proc. VLDB Endow. Matthias Boehm, Berthold Reinwald, Dylan Hutchison, Prithviraj Sen, Alexandre V. Evfimievski, Niketan Pansare
2017	A	`conf`	A Rectangle Mining Method for Understanding the Semantics of Financial Tables. ICDAR Xilun Chen, Laura Chiticariu, Marina Danilevsky, Alexandre V. Evfimievski, Prithviraj Sen
2017	A	`conf`	SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning. CIDR Tarek Elgamal, Shangyu Luo, Matthias Boehm, Alexandre V. Evfimievski, Shirish Tatikonda, Berthold Reinwald, Prithviraj Sen
2016	J	`jnl`	Declarative Machine Learning - A Classification of Basic Properties and Types. CoRR Matthias Boehm, Alexandre V. Evfimievski, Niketan Pansare, Berthold Reinwald
2016	J	`jnl`	SystemML: Declarative Machine Learning on Spark. Proc. VLDB Endow. Matthias Boehm, Michael Dusenberry, Deron Eriksson, Alexandre V. Evfimievski, Faraz Makari Manshadi, Niketan Pansare, Berthold Reinwald, Frederick Reiss, Prithviraj Sen, Arvind Surve, Shirish Tatikonda
2015	A*	`conf`	Efficient sample generation for scalable meta learning. ICDE Sebastian Schelter, Juan Soto, Volker Markl, Douglas Burdick, Berthold Reinwald, Alexandre V. Evfimievski
2014	—	`conf`	Financial Analytics from Public Data. DSMM Douglas Burdick, Alexandre V. Evfimievski, Rajasekar Krishnamurthy, Neal Lewis, Lucian Popa, Scott Rickards, Peter R. Williams
2014	J	`jnl`	SystemML's Optimizer: Plan Generation for Large-Scale Machine Learning Programs. IEEE Data Eng. Bull. Matthias Böhm, Douglas R. Burdick, Alexandre V. Evfimievski, Berthold Reinwald, Frederick R. Reiss, Prithviraj Sen, Shirish Tatikonda, Yuanyuan Tian
2013	—	`conf`	Compiling machine learning algorithms with SystemML. SoCC Matthias Boehm, Douglas Burdick, Alexandre V. Evfimievski, Berthold Reinwald, Prithviraj Sen, Shirish Tatikonda, Yuanyuan Tian
2011	J	`jnl`	Information technology for healthcare transformation. IBM J. Res. Dev. 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
2010	J	`jnl`	Epistemic privacy. J. ACM Alexandre V. Evfimievski, Ronald Fagin, David P. Woodruff
2008	A*	`conf`	Epistemic privacy. PODS Alexandre V. Evfimievski, Ronald Fagin, David P. Woodruff
2007	—	`conf`	Auditing disclosure by relevance ranking. SIGMOD Conference Rakesh Agrawal, Alexandre V. Evfimievski, Jerry Kiernan, Raja Velu
2004	—	`—`	Privacy Preserving Information Sharing. Alexandre V. Evfimievski
2004	J	`jnl`	Privacy preserving mining of association rules. Inf. Syst. Alexandre V. Evfimievski, Ramakrishnan Srikant, Rakesh Agrawal, Johannes Gehrke
2003	—	`conf`	Information Sharing Across Private Databases. SIGMOD Conference Rakesh Agrawal, Alexandre V. Evfimievski, Ramakrishnan Srikant
2003	A*	`conf`	Limiting privacy breaches in privacy preserving data mining. PODS Alexandre V. Evfimievski, Johannes Gehrke, Ramakrishnan Srikant
2002	A*	`conf`	Privacy preserving mining of association rules. KDD Alexandre V. Evfimievski, Ramakrishnan Srikant, Rakesh Agrawal, Johannes Gehrke
2002	J	`jnl`	Randomization in Privacy-Preserving Data Mining. SIGKDD Explor. Alexandre V. Evfimievski
2000	J	`jnl`	A probabilistic algorithm for updating files over a communication link. Theor. Comput. Sci. Alexandre V. Evfimievski
1998	A*	`conf`	A Probabilistic Algorithm for Updating Files over a Communication Link. SODA Alexandre V. Evfimievski