Adith Swaminathan
Adith Swaminathan
Microsoft Research
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
Unbiased learning-to-rank with biased feedback
T Joachims, A Swaminathan, T Schnabel
Proceedings of the Tenth ACM International Conference on Web Search and Data …, 2017
2022017
Counterfactual risk minimization: Learning from logged bandit feedback
A Swaminathan, T Joachims
Proceedings of the 32nd International Conference on Machine Learning, 814-823, 2015
1762015
Recommendations as treatments: Debiasing learning and evaluation
T Schnabel, A Swaminathan, A Singh, N Chandak, T Joachims
international conference on machine learning, 1670-1679, 2016
1722016
Batch learning from logged bandit feedback through counterfactual risk minimization
A Swaminathan, T Joachims
The Journal of Machine Learning Research 16 (1), 1731-1755, 2015
1572015
The self-normalized estimator for counterfactual learning
A Swaminathan, T Joachims
Advances in Neural Information Processing Systems, 3231-3239, 2015
1502015
Off-policy evaluation for slate recommendation
A Swaminathan, A Krishnamurthy, A Agarwal, M Dudik, J Langford, ...
Advances in Neural Information Processing Systems, 3632-3642, 2017
832017
Temporal corpus summarization using submodular word coverage
R Sipos, A Swaminathan, P Shivaswamy, T Joachims
Proceedings of the 21st ACM international conference on Information and …, 2012
662012
Off-Policy Policy Gradient with Stationary Distribution Correction
Y Liu, A Swaminathan, A Agarwal, E Brunskill
Uncertainty in Artificial Intelligence, 1180-1190, 2020
562020
Off-Policy Policy Gradient with Stationary Distribution Correction
Y Liu, A Swaminathan, A Agarwal, E Brunskill
Uncertainty in Artificial Intelligence, 1180-1190, 2020
562020
Deep learning with logged bandit feedback
T Joachims, A Swaminathan, M de Rijke
International Conference on Learning Representations, 2018
552018
Counterfactual Evaluation and Learning for Search, Recommendation and Ad Placement
T Joachims, A Swaminathan
Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016
322016
Large-scale Validation of Counterfactual Learning Methods: A Test-Bed
D Lefortier, A Swaminathan, X Gu, T Joachims, M de Rijke
arXiv preprint arXiv:1612.00367, 2016
242016
Counterfactual risk minimization
A Swaminathan, T Joachims
Proceedings of the 24th International Conference on World Wide Web, 939-941, 2015
222015
Mining videos from the web for electronic textbooks
R Agrawal, M Christoforaki, S Gollapudi, A Kannan, K Kenthapadi, ...
International Conference on Formal Concept Analysis, 219-234, 2014
222014
Unbiased comparative evaluation of ranking functions
T Schnabel, A Swaminathan, PI Frazier, T Joachims
Proceedings of the 2016 ACM International Conference on the Theory of …, 2016
172016
NAIL: A General Interactive Fiction Agent
M Hausknecht, R Loynd, G Yang, A Swaminathan, JD Williams
arXiv preprint arXiv:1902.04259, 2019
142019
Beyond myopic inference in big data pipelines
K Raman, A Swaminathan, J Gehrke, T Joachims
Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013
142013
Provably Good Batch Reinforcement Learning Without Great Exploration
Y Liu, A Swaminathan, A Agarwal, E Brunskill
arXiv preprint arXiv:2007.08202, 2020
92020
A distillation approach to data efficient individual treatment effect estimation
M Makar, A Swaminathan, E Kıcıman
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4544-4551, 2019
62019
Computational query modeling and action selection
A Agarwal, M Dudik, A Krishnamurthy, J Langford, A Swaminathan
US Patent App. 15/136,688, 2017
62017
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