Aritra Ghosh

According to our database, Aritra Ghosh authored at least 17 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

A Conceptual Model for End-to-End Causal Discovery in Knowledge Tracing.

Nischal Ashok Kumar, Wanyong Feng, Jaewook Lee, Hunter McNichols, Aritra Ghosh, Andrew S. Lan

Proceedings of the 16th International Conference on Educational Data Mining, 2023

Balancing Test Accuracy and Security in Computerized Adaptive Testing.

Wanyong Feng, Aritra Ghosh, Stephen Sireci, Andrew S. Lan

Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

DiFA: Differentiable Feature Acquisition.

Aritra Ghosh, Andrew S. Lan

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Automated Scoring for Reading Comprehension via In-context BERT Tuning.

Nigel Fernandez, Aritra Ghosh, Naiming Liu, Zichao Wang, Benoît Choffin, Richard G. Baraniuk, Andrew S. Lan

Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

DiPS: Differentiable Policy for Sketching in Recommender Systems.

Aritra Ghosh, Saayan Mitra, Andrew S. Lan

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Do We Really Need Gold Samples for Sample Weighting under Label Noise?

Aritra Ghosh, Andrew S. Lan

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

BOBCAT: Bilevel Optimization-Based Computerized Adaptive Testing.

Aritra Ghosh, Andrew S. Lan

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Contrastive Learning Improves Model Robustness Under Label Noise.

Aritra Ghosh, Andrew S. Lan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Option Tracing: Beyond Correctness Analysis in Knowledge Tracing.

Aritra Ghosh, Jay Raspat, Andrew S. Lan

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

2020

Optimal Bidding Strategy without Exploration in Real-time Bidding.

Aritra Ghosh, Saayan Mitra, Somdeb Sarkhel, Viswanathan Swaminathan

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Context-Aware Attentive Knowledge Tracing.

Aritra Ghosh, Neil T. Heffernan, Andrew S. Lan

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Skill-based Career Path Modeling and Recommendation.

Aritra Ghosh, Beverly P. Woolf, Shlomo Zilberstein, Andrew S. Lan

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Scalable Bid Landscape Forecasting in Real-Time Bidding.

Aritra Ghosh, Saayan Mitra, Somdeb Sarkhel, Jason Xie, Gang Wu, Viswanathan Swaminathan

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2017

On the Robustness of Decision Tree Learning Under Label Noise.

Aritra Ghosh, Naresh Manwani, P. S. Sastry

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Robust Loss Functions under Label Noise for Deep Neural Networks.

Aritra Ghosh, Himanshu Kumar, P. S. Sastry

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

A Preference Approach to Reputation in Sponsored Search.

Aritra Ghosh, Dinesh Gaurav, Rahul Agrawal

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Making risk minimization tolerant to label noise.

Aritra Ghosh, Naresh Manwani, P. S. Sastry

Neurocomputing, 2015