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Nina Mishra
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2020 – today
- 2023
- [c34]Supriya Nagesh, Nina Mishra, Yonatan Naamad, James M. Rehg, Mehul A. Shah, Alexei Wagner:
Explaining a machine learning decision to physicians via counterfactuals. CHIL 2023: 556-577 - [c33]Tal Wagner, Yonatan Naamad, Nina Mishra:
Fast Private Kernel Density Estimation via Locality Sensitive Quantization. ICML 2023: 35339-35367 - [c32]James Cook, Milind Shyani, Nina Mishra:
Creating a Public Repository for Joining Private Data. NeurIPS 2023 - [i4]Supriya Nagesh, Nina Mishra, Yonatan Naamad, James M. Rehg, Mehul A. Shah, Alexei Wagner:
Explaining a machine learning decision to physicians via counterfactuals. CoRR abs/2306.06325 (2023) - [i3]Tal Wagner, Yonatan Naamad, Nina Mishra:
Fast Private Kernel Density Estimation via Locality Sensitive Quantization. CoRR abs/2307.01877 (2023)
2010 – 2019
- 2019
- [c31]Dhivya Eswaran, Christos Faloutsos, Nina Mishra, Yonatan Naamad:
Intervention-Aware Early Warning. ICDM 2019: 1030-1035 - 2018
- [c30]Tal Wagner, Sudipto Guha, Shiva Prasad Kasiviswanathan, Nina Mishra:
Semi-Supervised Learning on Data Streams via Temporal Label Propagation. ICML 2018: 5082-5091 - [c29]Dhivya Eswaran, Christos Faloutsos, Sudipto Guha, Nina Mishra:
SpotLight: Detecting Anomalies in Streaming Graphs. KDD 2018: 1378-1386 - 2016
- [c28]Sudipto Guha, Nina Mishra, Gourav Roy, Okke Schrijvers:
Robust Random Cut Forest Based Anomaly Detection on Streams. ICML 2016: 2712-2721 - [c27]Katherine Ellis, Moisés Goldszmidt, Gert R. G. Lanckriet, Nina Mishra, Omer Reingold:
Equality and Social Mobility in Twitter Discussion Groups. WSDM 2016: 523-532 - [p2]Sudipto Guha, Nina Mishra:
Clustering Data Streams. Data Stream Management 2016: 169-187 - 2014
- [c26]James Cook, Abhimanyu Das, Krishnaram Kenthapadi, Nina Mishra:
Ranking Twitter discussion groups. COSN 2014: 177-190 - [c25]Isabelle Stanton, Samuel Ieong, Nina Mishra:
Circumlocution in diagnostic medical queries. SIGIR 2014: 133-142 - [c24]Nina Mishra, Ryen W. White, Samuel Ieong, Eric Horvitz:
Time-critical search. SIGIR 2014: 747-756 - 2013
- [j12]Krishnaram Kenthapadi, Nina Mishra, Kobbi Nissim
:
Denials leak information: Simulatable auditing. J. Comput. Syst. Sci. 79(8): 1322-1340 (2013) - [j11]Krishnaram Kenthapadi, Aleksandra Korolova, Ilya Mironov, Nina Mishra:
Privacy via the Johnson-Lindenstrauss Transform. J. Priv. Confidentiality 5(1) (2013) - [c23]Nina Mishra, Daniel M. Romero, Panayiotis Tsaparas
:
Estimating the relative utility of networks for predicting user activities. CIKM 2013: 1047-1056 - [c22]James Cook, Krishnaram Kenthapadi, Nina Mishra:
Group chats on Twitter. WWW 2013: 225-236 - 2012
- [c21]Or Sheffet, Nina Mishra, Samuel Ieong:
Predicting Consumer Behavior in Commerce Search. ICML 2012 - [c20]Samuel Ieong, Nina Mishra, Eldar Sadikov, Li Zhang:
Domain bias in web search. WSDM 2012: 413-422 - [i2]Krishnaram Kenthapadi, Aleksandra Korolova, Ilya Mironov, Nina Mishra:
Privacy via the Johnson-Lindenstrauss Transform. CoRR abs/1204.2606 (2012) - 2011
- [c19]Srikanth Jagabathula, Nina Mishra, Sreenivas Gollapudi:
Shopping for products you don't know you need. WSDM 2011: 705-714 - 2010
- [j10]Gagan Aggarwal, Nina Mishra, Benny Pinkas:
Secure Computation of the Median (and Other Elements of Specified Ranks). J. Cryptol. 23(3): 373-401 (2010) - [j9]Shubha U. Nabar, Nina Mishra:
Releasing Private Contingency Tables. J. Priv. Confidentiality 2(1) (2010) - [i1]Umar Syed, Aleksandrs Slivkins, Nina Mishra:
Adapting to the Shifting Intent of Search Queries. CoRR abs/1007.3799 (2010)
2000 – 2009
- 2009
- [c18]Umar Syed, Aleksandrs Slivkins, Nina Mishra:
Adapting to the Shifting Intent of Search Queries. NIPS 2009: 1829-1837 - [c17]Rakesh Agrawal, Alan Halverson, Krishnaram Kenthapadi, Nina Mishra, Panayiotis Tsaparas
:
Generating labels from clicks. WSDM 2009: 172-181 - [c16]Aleksandra Korolova, Krishnaram Kenthapadi, Nina Mishra, Alexandros Ntoulas:
Releasing search queries and clicks privately. WWW 2009: 171-180 - 2008
- [j8]Nina Mishra, Robert Schreiber, Isabelle Stanton, Robert Endre Tarjan:
Finding Strongly Knit Clusters in Social Networks. Internet Math. 5(1): 155-174 (2008) - [j7]Westley Weimer, Nina Mishra:
Privately Finding Specifications. IEEE Trans. Software Eng. 34(1): 21-32 (2008) - [p1]Shubha U. Nabar, Krishnaram Kenthapadi, Nina Mishra, Rajeev Motwani:
A Survey of Query Auditing Techniques for Data Privacy. Privacy-Preserving Data Mining 2008: 415-431 - 2007
- [c15]Nina Mishra, Robert Schreiber, Isabelle Stanton, Robert Endre Tarjan:
Clustering Social Networks. WAW 2007: 56-67 - 2006
- [c14]Kamalika Chaudhuri, Nina Mishra:
When Random Sampling Preserves Privacy. CRYPTO 2006: 198-213 - [c13]Nina Mishra, Mark Sandler:
Privacy via pseudorandom sketches. PODS 2006: 143-152 - [c12]Shubha U. Nabar, Bhaskara Marthi, Krishnaram Kenthapadi, Nina Mishra, Rajeev Motwani:
Towards Robustness in Query Auditing. VLDB 2006: 151-162 - 2005
- [c11]Krishnaram Kenthapadi, Nina Mishra, Kobbi Nissim:
Simulatable auditing. PODS 2005: 118-127 - 2004
- [j6]Haym Hirsh, Nina Mishra, Leonard Pitt:
Version spaces and the consistency problem. Artif. Intell. 156(2): 115-138 (2004) - [j5]Nina Mishra, Rajeev Motwani:
Introduction: Special Issue on Theoretical Advances in Data Clustering. Mach. Learn. 56(1-3): 5-7 (2004) - [j4]Nina Mishra, Dana Ron
, Ram Swaminathan:
A New Conceptual Clustering Framework. Mach. Learn. 56(1-3): 115-151 (2004) - [c10]Gagan Aggarwal, Nina Mishra, Benny Pinkas:
Secure Computation of the k th-Ranked Element. EUROCRYPT 2004: 40-55 - [c9]Gagan Aggarwal, Mayur Datar, Nina Mishra, Rajeev Motwani:
On Identifying Stable Ways to Configure Systems. ICAC 2004: 148-153 - [c8]Gagan Aggarwal, Mayank Bawa, Prasanna Ganesan, Hector Garcia-Molina, Krishnaram Kenthapadi, Nina Mishra, Rajeev Motwani, Utkarsh Srivastava, Dilys Thomas, Jennifer Widom, Ying Xu:
Vision Paper: Enabling Privacy for the Paranoids. VLDB 2004: 708-719 - 2003
- [j3]Sudipto Guha, Adam Meyerson, Nina Mishra, Rajeev Motwani, Liadan O'Callaghan:
Clustering Data Streams: Theory and Practice. IEEE Trans. Knowl. Data Eng. 15(3): 515-528 (2003) - [c7]Nina Mishra, Dana Ron, Ram Swaminathan:
On Finding Large Conjunctive Clusters. COLT 2003: 448-462 - [e1]Tom Fawcett, Nina Mishra:
Machine Learning, Proceedings of the Twentieth International Conference (ICML 2003), August 21-24, 2003, Washington, DC, USA. AAAI Press 2003, ISBN 1-57735-189-4 [contents] - 2002
- [c6]Liadan O'Callaghan, Adam Meyerson, Rajeev Motwani, Nina Mishra, Sudipto Guha:
Streaming-Data Algorithms for High-Quality Clustering. ICDE 2002: 685-694 - 2001
- [c5]Nina Mishra, Daniel Oblinger, Leonard Pitt:
Sublinear time approximate clustering. SODA 2001: 439-447 - 2000
- [c4]Sudipto Guha, Nina Mishra, Rajeev Motwani, Liadan O'Callaghan:
Clustering Data Streams. FOCS 2000: 359-366
1990 – 1999
- 1999
- [j2]Carlos Domingo, Nina Mishra, Leonard Pitt:
Efficient Read-Restricted Monotone CNF/DNF Dualization by Learning with Membership Queries. Mach. Learn. 37(1): 89-110 (1999) - 1997
- [b1]Nina Mishra:
Learning From a Monotonous, Ignorant Teacher. University of Illinois Urbana-Champaign, USA, 1997 - [c3]Haym Hirsh, Nina Mishra, Leonard Pitt:
Version Spaces without Boundary Sets. AAAI/IAAI 1997: 491-496 - [c2]Nina Mishra, Leonard Pitt:
Generating all Maximal Independent Sets of Bounded-Degree Hypergraphs. COLT 1997: 211-217 - 1996
- [j1]Michael Frazier, Sally A. Goldman, Nina Mishra, Leonard Pitt:
Learning from a Consistently Ignorant Teacher. J. Comput. Syst. Sci. 52(3): 471-492 (1996) - 1994
- [c1]Michael Frazier, Sally A. Goldman, Nina Mishra, Leonard Pitt:
Learning from a Consistently Ignorant Teacher. COLT 1994: 328-339
Coauthor Index
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