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ORCIDRajhans Samdani
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2020 – today
- 2024
[i4]Yuxiang Wei, Hojae Han, Rajhans Samdani:
Arctic-SnowCoder: Demystifying High-Quality Data in Code Pretraining. CoRR abs/2409.02326 (2024)
2010 – 2019
- 2019
- [i3]Rajhans Samdani, Pierre Rappolt, Ankit Goyal, Pratyus Patnaik:
Practical User Feedback-driven Internal Search Using Online Learning to Rank. CoRR abs/1906.06581 (2019) - 2014
- [c10]Rajhans Samdani, Kai-Wei Chang, Dan Roth:
A Discriminative Latent Variable Model for Online Clustering. ICML 2014: 1-9 - 2013
- [c9]Kai-Wei Chang, Rajhans Samdani, Dan Roth:
A Constrained Latent Variable Model for Coreference Resolution. EMNLP 2013: 601-612 - [i2]Xiao Cheng, Bingling Chen, Rajhans Samdani, Kai-Wei Chang, Zhiye Fei, Mark Sammons, John Wieting, Subhro Roy, Chizheng Wang, Dan Roth:
Illinois Cognitive Computation Group UI-CCG TAC 2013 Entity Linking and Slot Filler Validation Systems. TAC 2013 - 2012
- [c8]Kai-Wei Chang, Rajhans Samdani, Alla Rozovskaya, Mark Sammons, Dan Roth:
Illinois-Coref: The UI System in the CoNLL-2012 Shared Task. EMNLP-CoNLL Shared Task 2012: 113-117 - [c7]Rajhans Samdani, Dan Roth:
Efficient Decomposed Learning for Structured Prediction. ICML 2012 - [c6]Rajhans Samdani, Ming-Wei Chang, Dan Roth:
Unified Expectation Maximization. HLT-NAACL 2012: 688-698 - [i1]Rajhans Samdani, Dan Roth:
Efficient Decomposed Learning for Structured Prediction. CoRR abs/1206.4630 (2012) - 2011
- [c5]Kai-Wei Chang, Rajhans Samdani, Alla Rozovskaya, Nick Rizzolo, Mark Sammons, Dan Roth:
Inference Protocols for Coreference Resolution. CoNLL Shared Task 2011: 40-44 - [c4]Gourab Kundu, Dan Roth, Rajhans Samdani:
Constrained conditional models for information fusion. FUSION 2011: 1-8 - [c3]Rajhans Samdani, Wen-tau Yih:
Domain Adaptation with Ensemble of Feature Groups. IJCAI 2011: 1458-1464 - 2010
- [c2]Geoffrey Levine, Gerald DeJong, Li-Lun Wang
, Rajhans Samdani, Shankar Vembu, Dan Roth:
Automatic Model Adaptation for Complex Structured Domains. ECML/PKDD (2) 2010: 243-258
2000 – 2009
- 2009
- [j1]Dan Roth, Rajhans Samdani:
Learning multi-linear representations of distributions for efficient inference. Mach. Learn. 76(2-3): 195-209 (2009) - [c1]Dan Roth, Rajhans Samdani:
Learning Multi-linear Representations of Distributions for Efficient Inference. ECML/PKDD (1) 2009: 11
Coauthor Index
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