%0 Conference Paper %1 conf/icml/0002ZMAA22 %A Xu, Pan %A Zheng, Hongkai %A Mazumdar, Eric V. %A Azizzadenesheli, Kamyar %A Anandkumar, Animashree %B ICML %D 2022 %E Chaudhuri, Kamalika %E Jegelka, Stefanie %E Song, Le %E Szepesvári, Csaba %E Niu, Gang %E Sabato, Sivan %I PMLR %K dblp %P 24830-24850 %T Langevin Monte Carlo for Contextual Bandits. %U http://dblp.uni-trier.de/db/conf/icml/icml2022.html#0002ZMAA22 %V 162

@inproceedings{conf/icml/0002ZMAA22, added-at = {2022-07-12T00:00:00.000+0200}, author = {Xu, Pan and Zheng, Hongkai and Mazumdar, Eric V. and Azizzadenesheli, Kamyar and Anandkumar, Animashree}, biburl = {https://www.bibsonomy.org/bibtex/2cb47f6535a759d28aa6f789fe989ab35/dblp}, booktitle = {ICML}, crossref = {conf/icml/2022}, editor = {Chaudhuri, Kamalika and Jegelka, Stefanie and Song, Le and Szepesvári, Csaba and Niu, Gang and Sabato, Sivan}, ee = {https://proceedings.mlr.press/v162/xu22p.html}, interhash = {4aa847116a34317d2702c2863f651700}, intrahash = {cb47f6535a759d28aa6f789fe989ab35}, keywords = {dblp}, pages = {24830-24850}, publisher = {PMLR}, series = {Proceedings of Machine Learning Research}, timestamp = {2024-04-10T01:44:28.000+0200}, title = {Langevin Monte Carlo for Contextual Bandits.}, url = {http://dblp.uni-trier.de/db/conf/icml/icml2022.html#0002ZMAA22}, volume = 162, year = 2022 }