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2020 – today
- 2024
[c12]Malay Haldar
, Hongwei Zhang, Kedar Bellare, Sherry Chen, Soumyadip Banerjee, Xiaotang Wang, Mustafa Abdool, Huiji Gao, Pavan Tapadia, Liwei He, Sanjeev Katariya:
Learning to Rank for Maps at Airbnb. KDD 2024: 5061-5069- [i4]Malay Haldar, Hongwei Zhang, Kedar Bellare, Sherry Chen, Soumyadip Banerjee, Xiaotang Wang, Mustafa Abdool, Huiji Gao, Pavan Tapadia, Liwei He, Sanjeev Katariya:
Learning to Rank for Maps at Airbnb. CoRR abs/2407.00091 (2024) - 2021
- [i3]Chirag Mahapatra, Kedar Bellare:
Leveraging Multiple Online Sources for Accurate Income Verification. CoRR abs/2106.10547 (2021)
2010 – 2019
- 2019
- [c11]Chirag Mahapatra, Kedar Bellare:
Leveraging Multiple Online Sources for Accurate Income Verification. ICDM (Posters) 2019: 123-136 - 2015
- [j4]Norases Vesdapunt, Kedar Bellare, Nilesh N. Dalvi:
Errata for "Crowdsourcing Algorithms for Entity Resolution" (PVLDB 7(12): 1071-1082). Proc. VLDB Endow. 8(5): 641 (2015) - 2014
- [j3]Norases Vesdapunt, Kedar Bellare, Nilesh N. Dalvi:
Crowdsourcing Algorithms for Entity Resolution. Proc. VLDB Endow. 7(12): 1071-1082 (2014) - 2013
- [j2]Kedar Bellare, Carlo Curino, Ashwin Machanavajjhala, Peter Mika, Mandar Rahurkar, Aamod Sane:
WOO: A Scalable and Multi-tenant Platform for Continuous Knowledge Base Synthesis. Proc. VLDB Endow. 6(11): 1114-1125 (2013) - [j1]Kedar Bellare, Suresh Iyengar, Aditya G. Parameswaran, Vibhor Rastogi:
Active Sampling for Entity Matching with Guarantees. ACM Trans. Knowl. Discov. Data 7(3): 12:1-12:24 (2013) - [c10]Aditya Pal, Nilesh N. Dalvi, Kedar Bellare:
Discovering Hierarchical Structure for Sources and Entities. AAAI 2013: 753-759 - 2012
- [c9]Kedar Bellare, Suresh Iyengar, Aditya G. Parameswaran, Vibhor Rastogi:
Active sampling for entity matching. KDD 2012: 1131-1139 - [c8]Paramveer S. Dhillon, S. Sathiya Keerthi, Kedar Bellare, Olivier Chapelle, Sundararajan Sellamanickam:
Deterministic Annealing for Semi-Supervised Structured Output Learning. AISTATS 2012: 299-307 - [i2]Kedar Bellare, Gregory Druck, Andrew McCallum:
Alternating Projections for Learning with Expectation Constraints. CoRR abs/1205.2660 (2012) - [i1]Andrew McCallum, Kedar Bellare, Fernando C. N. Pereira:
A Conditional Random Field for Discriminatively-trained Finite-state String Edit Distance. CoRR abs/1207.1406 (2012) - 2011
- [c7]Michael L. Wick, Khashayar Rohanimanesh, Kedar Bellare, Aron Culotta, Andrew McCallum:
SampleRank: Training Factor Graphs with Atomic Gradients. ICML 2011: 777-784
2000 – 2009
- 2009
- [c6]Kedar Bellare, Andrew McCallum:
Generalized Expectation Criteria for Bootstrapping Extractors using Record-Text Alignment. EMNLP 2009: 131-140 - [c5]Kedar Bellare, Koby Crammer, Dayne Freitag:
Loss-Sensitive Discriminative Training of Machine Transliteration Models. HLT-NAACL (Student Research Workshop and Doctoral Consortium) 2009: 61-65 - [c4]Kedar Bellare, Gregory Druck, Andrew McCallum:
Alternating Projections for Learning with Expectation Constraints. UAI 2009: 43-50 - 2005
- [c3]Andrew McCallum, Kedar Bellare, Fernando C. N. Pereira:
A Conditional Random Field for Discriminatively-trained Finite-state String Edit Distance. UAI 2005: 388-395 - 2004
- [c2]Kedar Bellare, Anish Das Sarma, Atish Das Sarma, Navneet Loiwal, Vaibhav Mehta, Ganesh Ramakrishnan, Pushpak Bhattacharyya:
Generic Text Summarization Using WordNet. LREC 2004 - 2003
- [c1]Ganesh Ramakrishnan, Kedar Bellare, Chirag Shah, Deepa Paranjpe:
Generic Text Summarization Using Wordnet for Novelty and Hard. TREC 2003: 303-304
Coauthor Index
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