Making risk minimization tolerant to label noise. - Aritra Ghosh 001; Naresh Manwani; P. S. Sastry 001 (Neurocomputing, 2015)

A Preference Approach to Reputation in Sponsored Search. - Aritra Ghosh 001; Dinesh Gaurav; Rahul Agrawal (CIKM, 2016)

Robust Loss Functions under Label Noise for Deep Neural Networks. - Aritra Ghosh 001; Himanshu Kumar; P. S. Sastry 001 (AAAI, 2017)

On the Robustness of Decision Tree Learning Under Label Noise. - Aritra Ghosh 001; Naresh Manwani; P. S. Sastry 001 (PAKDD (1), 2017)

Scalable Bid Landscape Forecasting in Real-Time Bidding. - Aritra Ghosh 001; Saayan Mitra; Somdeb Sarkhel; Jason Xie; Gang Wu 013; Viswanathan Swaminathan 001 (ECML/PKDD (3), 2019)

Skill-based Career Path Modeling and Recommendation. - Aritra Ghosh 001; Beverly P. Woolf; Shlomo Zilberstein; Andrew S. Lan (IEEE BigData, 2020)

Context-Aware Attentive Knowledge Tracing. - Aritra Ghosh 001; Neil T. Heffernan; Andrew S. Lan (KDD, 2020)

Optimal Bidding Strategy without Exploration in Real-time Bidding. - Aritra Ghosh 001; Saayan Mitra; Somdeb Sarkhel; Viswanathan Swaminathan 001 (SDM, 2020)

Option Tracing: Beyond Correctness Analysis in Knowledge Tracing. - Aritra Ghosh 001; Jay Raspat; Andrew S. Lan (AIED (1), 2021)

Contrastive Learning Improves Model Robustness Under Label Noise. - Aritra Ghosh 001; Andrew S. Lan (CVPR Workshops, 2021)

BOBCAT: Bilevel Optimization-Based Computerized Adaptive Testing. - Aritra Ghosh 001; Andrew S. Lan (IJCAI, 2021)

Do We Really Need Gold Samples for Sample Weighting under Label Noise? - Aritra Ghosh 001; Andrew S. Lan (WACV, 2021)

DiPS: Differentiable Policy for Sketching in Recommender Systems. - Aritra Ghosh 001; Saayan Mitra; Andrew S. Lan (AAAI, 2022)

Automated Scoring for Reading Comprehension via In-context BERT Tuning. - Nigel Fernandez; Aritra Ghosh 001; Naiming Liu; Zichao Wang 001; Benoît Choffin; Richard G. Baraniuk; Andrew S. Lan (AIED (1), 2022)

DiFA: Differentiable Feature Acquisition. - Aritra Ghosh 001; Andrew S. Lan (AAAI, 2023)

Balancing Test Accuracy and Security in Computerized Adaptive Testing. - Wanyong Feng; Aritra Ghosh 001; Stephen Sireci; Andrew S. Lan (AIED, 2023)

A Conceptual Model for End-to-End Causal Discovery in Knowledge Tracing. - Nischal Ashok Kumar; Wanyong Feng; Jaewook Lee 006; Hunter McNichols; Aritra Ghosh 001; Andrew S. Lan (EDM, 2023)