Folgen
Adith Swaminathan
Adith Swaminathan
Microsoft Research
Bestätigte E-Mail-Adresse bei microsoft.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
6532016
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
5432017
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
5242015
Counterfactual risk minimization: Learning from logged bandit feedback
A Swaminathan, T Joachims
Proceedings of the 32nd International Conference on Machine Learning, 814-823, 2015
3932015
The self-normalized estimator for counterfactual learning
A Swaminathan, T Joachims
Advances in Neural Information Processing Systems, 3231-3239, 2015
3372015
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
2212017
Provably good batch off-policy reinforcement learning without great exploration
Y Liu, A Swaminathan, A Agarwal, E Brunskill
Advances in Neural Information Processing Systems 33, 1264-1274, 2020
2022020
Off-Policy Policy Gradient with Stationary Distribution Correction
Y Liu, A Swaminathan, A Agarwal, E Brunskill
Uncertainty in Artificial Intelligence, 1180-1190, 2020
172*2020
Deep learning with logged bandit feedback
T Joachims, A Swaminathan, M de Rijke
International Conference on Learning Representations, 2018
1482018
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
892012
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
612016
Active Learning for ML Enhanced Database Systems
L Ma, B Ding, S Das, A Swaminathan
Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020
582020
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
512016
Heuristic-guided reinforcement learning
CA Cheng, A Kolobov, A Swaminathan
Advances in Neural Information Processing Systems 34, 13550-13563, 2021
452021
NAIL: A General Interactive Fiction Agent
M Hausknecht, R Loynd, G Yang, A Swaminathan, JD Williams
arXiv preprint arXiv:1902.04259, 2019
402019
Mining videos from the web for electronic textbooks
R Agrawal, M Christoforaki, S Gollapudi, A Kannan, K Kenthapadi, ...
Formal Concept Analysis: 12th International Conference, ICFCA 2014, Cluj …, 2014
35*2014
Working Memory Graphs
R Loynd, R Fernandez, A Celikyilmaz, A Swaminathan, M Hausknecht
International Conference on Machine Learning, 6404-6414, 2020
322020
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
272016
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
222013
Computational query modeling and action selection
A Agarwal, M Dudik, A Krishnamurthy, J Langford, A Swaminathan
US Patent App. 15/136,688, 2017
212017
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20