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ORCIDAritra Ghosh 0001
Person information
- affiliation: UMass Amherst, MA, USA
- affiliation (former): Microsoft, Bangalore, India
- affiliation (former): Indian Institute of Science, Bangalore, India
Other persons with the same name
- Aritra Ghosh 0002
![[0000-0002-2674-2825]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-2674-2825")
— Indian Institute of Technology Madras, Chennai, India - Aritra Ghosh 0003 — Yale University, Department of Astronomy, New Haven, CT, USA
- Aritra Ghosh 0004 — Florida Atlantic University, Boca Raton, FL, USA
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2020 – today
- 2023
[c16]Aritra Ghosh, Andrew S. Lan:
DiFA: Differentiable Feature Acquisition. AAAI 2023: 7705-7713- [c15]Wanyong Feng, Aritra Ghosh, Stephen Sireci, Andrew S. Lan:
Balancing Test Accuracy and Security in Computerized Adaptive Testing. AIED 2023: 708-713 - [c14]Nischal Ashok Kumar, Wanyong Feng, Jaewook Lee, Hunter McNichols, Aritra Ghosh, Andrew S. Lan:
A Conceptual Model for End-to-End Causal Discovery in Knowledge Tracing. EDM 2023 - [i14]Nischal Ashok Kumar, Wanyong Feng, Jaewook Lee, Hunter McNichols, Aritra Ghosh, Andrew S. Lan:
A Conceptual Model for End-to-End Causal Discovery in Knowledge Tracing. CoRR abs/2305.16165 (2023) - [i13]Wanyong Feng, Aritra Ghosh, Stephen Sireci, Andrew S. Lan:
Balancing Test Accuracy and Security in Computerized Adaptive Testing. CoRR abs/2305.18312 (2023) - 2022
- [c13]Aritra Ghosh, Saayan Mitra, Andrew S. Lan:
DiPS: Differentiable Policy for Sketching in Recommender Systems. AAAI 2022: 6703-6712 - [c12]Nigel Fernandez, Aritra Ghosh, Naiming Liu, Zichao Wang, Benoît Choffin, Richard G. Baraniuk, Andrew S. Lan:
Automated Scoring for Reading Comprehension via In-context BERT Tuning. AIED (1) 2022: 691-697 - [i12]Nigel Fernandez, Aritra Ghosh, Naiming Liu, Zichao Wang, Benoît Choffin, Richard G. Baraniuk, Andrew S. Lan:
Automated Scoring for Reading Comprehension via In-context BERT Tuning. CoRR abs/2205.09864 (2022) - 2021
- [c11]Aritra Ghosh, Jay Raspat, Andrew S. Lan:
Option Tracing: Beyond Correctness Analysis in Knowledge Tracing. AIED (1) 2021: 137-149 - [c10]Aritra Ghosh, Andrew S. Lan:
Contrastive Learning Improves Model Robustness Under Label Noise. CVPR Workshops 2021: 2703-2708 - [c9]Aritra Ghosh, Andrew S. Lan:
BOBCAT: Bilevel Optimization-Based Computerized Adaptive Testing. IJCAI 2021: 2410-2417 - [c8]Aritra Ghosh, Andrew S. Lan:
Do We Really Need Gold Samples for Sample Weighting under Label Noise? WACV 2021: 3921-3930 - [i11]Aritra Ghosh, Andrew S. Lan:
Contrastive Learning Improves Model Robustness Under Label Noise. CoRR abs/2104.08984 (2021) - [i10]Aritra Ghosh, Jay Raspat, Andrew S. Lan:
Option Tracing: Beyond Correctness Analysis in Knowledge Tracing. CoRR abs/2104.09043 (2021) - [i9]Aritra Ghosh, Andrew S. Lan:
Do We Really Need Gold Samples for Sample Weighting Under Label Noise? CoRR abs/2104.09045 (2021) - [i8]Aritra Ghosh, Andrew S. Lan:
BOBCAT: Bilevel Optimization-Based Computerized Adaptive Testing. CoRR abs/2108.07386 (2021) - [i7]Aritra Ghosh, Saayan Mitra, Andrew S. Lan:
DiPS: Differentiable Policy for Sketching in Recommender Systems. CoRR abs/2112.07616 (2021) - 2020
- [c7]Aritra Ghosh, Beverly P. Woolf, Shlomo Zilberstein, Andrew S. Lan:
Skill-based Career Path Modeling and Recommendation. IEEE BigData 2020: 1156-1165 - [c6]Aritra Ghosh, Neil T. Heffernan, Andrew S. Lan:
Context-Aware Attentive Knowledge Tracing. KDD 2020: 2330-2339 - [c5]Aritra Ghosh, Saayan Mitra, Somdeb Sarkhel, Viswanathan Swaminathan:
Optimal Bidding Strategy without Exploration in Real-time Bidding. SDM 2020: 298-306 - [i6]Aritra Ghosh, Saayan Mitra, Somdeb Sarkhel, Jason Xie, Gang Wu, Viswanathan Swaminathan:
Scalable Bid Landscape Forecasting in Real-time Bidding. CoRR abs/2001.06587 (2020) - [i5]Aritra Ghosh, Saayan Mitra, Somdeb Sarkhel, Viswanathan Swaminathan:
Optimal Bidding Strategy without Exploration in Real-time Bidding. CoRR abs/2004.00100 (2020) - [i4]Aritra Ghosh, Neil T. Heffernan, Andrew S. Lan:
Context-Aware Attentive Knowledge Tracing. CoRR abs/2007.12324 (2020)
2010 – 2019
- 2019
- [c4]Aritra Ghosh, Saayan Mitra, Somdeb Sarkhel, Jason Xie, Gang Wu, Viswanathan Swaminathan:
Scalable Bid Landscape Forecasting in Real-Time Bidding. ECML/PKDD (3) 2019: 451-466 - 2017
- [c3]Aritra Ghosh, Himanshu Kumar, P. S. Sastry:
Robust Loss Functions under Label Noise for Deep Neural Networks. AAAI 2017: 1919-1925 - [c2]Aritra Ghosh, Naresh Manwani, P. S. Sastry:
On the Robustness of Decision Tree Learning Under Label Noise. PAKDD (1) 2017: 685-697 - [i3]Aritra Ghosh, Himanshu Kumar, P. S. Sastry:
Robust Loss Functions under Label Noise for Deep Neural Networks. CoRR abs/1712.09482 (2017) - 2016
- [c1]Aritra Ghosh, Dinesh Gaurav, Rahul Agrawal:
A Preference Approach to Reputation in Sponsored Search. CIKM 2016: 2041-2044 - [i2]Aritra Ghosh, Naresh Manwani, P. S. Sastry:
On the Robustness of Decision Tree Learning under Label Noise. CoRR abs/1605.06296 (2016) - 2015
- [j1]Aritra Ghosh, Naresh Manwani, P. S. Sastry:
Making risk minimization tolerant to label noise. Neurocomputing 160: 93-107 (2015) - 2014
- [i1]Aritra Ghosh, Naresh Manwani, P. S. Sastry:
Making Risk Minimization Tolerant to Label Noise. CoRR abs/1403.3610 (2014)
Coauthor Index
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last updated on 2024-05-02 23:56 CEST by the dblp team
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