Sougata Chaudhuri

According to our database1, Sougata Chaudhuri authored at least 13 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A Comprehensive Survey of LLM Alignment Techniques: RLHF, RLAIF, PPO, DPO and More.
CoRR, 2024

2018
Learning Large Scale Ordinal Ranking Model via Divide-and-Conquer Technique.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

2017
Online Learning to Rank with Top-k Feedback.
J. Mach. Learn. Res., 2017

Importance of Recommendation Policy Space in Addressing Click Sparsity in Personalized Advertisement Display.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2017

Ranking and Calibrating Click-Attributed Purchases in Performance Display Advertising.
Proceedings of the ADKDD'17, Halifax, NS, Canada, August 13 - 17, 2017, 2017

2016
Personalized Advertisement Recommendation: A Ranking Approach to Address the Ubiquitous Click Sparsity Problem.
CoRR, 2016

Phased Exploration with Greedy Exploitation in Stochastic Combinatorial Partial Monitoring Games.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Online Learning to Rank with Feedback at the Top.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Handling Class Imbalance in Link Prediction Using Learning to Rank Techniques.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Perceptron like Algorithms for Online Learning to Rank.
CoRR, 2015

Generalization error bounds for learning to rank: Does the length of document lists matter?
Proceedings of the 32nd International Conference on Machine Learning, 2015

Online Ranking with Top-1 Feedback.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014
Perceptron-like Algorithms and Generalization Bounds for Learning to Rank.
CoRR, 2014


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