Perceptron-like Algorithms and Generalization Bounds for Learning to Rank. - Sougata Chaudhuri; Ambuj Tewari (CoRR, 2014)

Online Ranking with Top-1 Feedback. - Sougata Chaudhuri; Ambuj Tewari (AISTATS, 2015)

Generalization error bounds for learning to rank: Does the length of document lists matter? - Ambuj Tewari; Sougata Chaudhuri (ICML, 2015)

Perceptron like Algorithms for Online Learning to Rank. - Sougata Chaudhuri; Ambuj Tewari (CoRR, 2015)

Handling Class Imbalance in Link Prediction Using Learning to Rank Techniques. - Bopeng Li; Sougata Chaudhuri; Ambuj Tewari (AAAI, 2016)

Online Learning to Rank with Feedback at the Top. - Sougata Chaudhuri; Ambuj Tewari (AISTATS, 2016)

Phased Exploration with Greedy Exploitation in Stochastic Combinatorial Partial Monitoring Games. - Sougata Chaudhuri; Ambuj Tewari (NIPS, 2016)

Personalized Advertisement Recommendation: A Ranking Approach to Address the Ubiquitous Click Sparsity Problem. - Sougata Chaudhuri; Georgios Theocharous; Mohammad Ghavamzadeh (CoRR, 2016)

Ranking and Calibrating Click-Attributed Purchases in Performance Display Advertising. - Sougata Chaudhuri; Abraham Bagherjeiran; James Liu (ADKDD@KDD, 2017)

Importance of Recommendation Policy Space in Addressing Click Sparsity in Personalized Advertisement Display. - Sougata Chaudhuri; Georgios Theocharous; Mohammad Ghavamzadeh (MLDM, 2017)

Online Learning to Rank with Top-k Feedback. - Sougata Chaudhuri; Ambuj Tewari (J. Mach. Learn. Res., 2017)

Learning Large Scale Ordinal Ranking Model via Divide-and-Conquer Technique. - Lu Tang 003; Sougata Chaudhuri; Abraham Bagherjeiran; Ling Zhou (WWW (Companion Volume), 2018)

A Comprehensive Survey of LLM Alignment Techniques: RLHF, RLAIF, PPO, DPO and More. - Zhichao Wang; Bin Bi; Shiva Kumar Pentyala; Kiran Ramnath; Sougata Chaudhuri; Shubham Mehrotra; Zixu James Zhu; Xiang-Bo Mao; Sitaram Asur; Na Claire Cheng (CoRR, 2024)

Rate, Explain and Cite (REC): Enhanced Explanation and Attribution in Automatic Evaluation by Large Language Models. - Aliyah R. Hsu; James Zhu; Zhichao Wang; Bin Bi; Shubham Mehrotra; Shiva K. Pentyala; Katherine Tan; Xiang-Bo Mao; Roshanak Omrani; Sougata Chaudhuri; Regunathan Radhakrishnan; Sitaram Asur; et al. (CoRR, 2024)