[UAI] Call for Papers - NeurIPS 2019 Workshop on Safety and Robustness in Decision Making (10 days to Deadline)

) Nathan Kallus (Cornell University) Daniel Kuhn (EPFL) Scott Niekum (University of Texas at Austin) Marco Pavone (Stanford University) Andy Sun (Georgia Tech) Aviv Tamar (Technion) ORGANIZERS Yinlam Chow (Google Research) Mohammad Ghavamzadeh (Facebook AI Research) Shie Mannor

[UAI] Call for Papers - NeurIPS 2019 Workshop on Safety and Robustness in Decision Making

Filev (Ford Motor Company) Thorsten Joachims (Cornell University) Daniel Kuhn (EPFL) Scott Niekum (University of Texas at Austin) Marco Pavone (Stanford University) ORGANIZERS Yinlam Chow (Google Research) Mohammad Ghavamzadeh (Facebook AI Research) Shie Mannor (Technion) Marek Petrik

[UAI] Internship at Reinforcement Learning and Robot Learning Groups at FaceBook AI Research (FAIR), Menlo Park

of the following FAIR researchers:  - Yuandong Tian (https://yuandong-tian.com) - Mohammad Ghavamzadeh (http://chercheurs.lille.inria.fr/~ghavamza) - Roberto Calandra (https://www.robertocalandra.com/about/) - Franziska Meier (https://am.is.tuebingen.mpg.de/person/fmeier

[UAI] Machine Learning Internship at Adobe Research, San Jose, CA

and entertainment companies. The successful candidate will be mentored and work closely with one or more of the following Adobe researchers: - Hung Bui (https://sites.google.com/site/buihhung) - Mohammad Ghavamzadeh (http://chercheurs.lille.inria.fr/~ghavamza) - Jaya Kawale (http://www-users.

[UAI] 2nd CFP: NIPS-2015 Workshop on Machine Learning for eCommerce

pted papers, are also welcomed, but please indicate where the paper was accepted or published. ORGANIZERS Esteban Arcaute (@WalmartLabs) Mohammad Ghavamzadeh (Adobe Research & INRIA) Shie Mannor (Technion) Georgios Theocharous (Adobe

[UAI] [CFP] ICML Workshop on "Customers Value Optimization in Digital Marketing" (Deadline May 1)

w others to be announced later ORGANIZERS: Shie Mannor (Technion) Georgios Theocharous (Adobe Research) Mohammad Ghavamzadeh (Adobe Research & INRIA) ___ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai

[UAI] Researcher Positions at Adobe Research: Machine Learning for Digital Marketing

that contains her/his relevant publications, name and contact information of three references, and other relevant documents. Please email your application to Mohammad Ghavamzadeh (ghava...@adobe.com) (http://www.adobe.com/technology/people/san-jose/mohammad-ghavamzadeh.html) AND Georgios T

[UAI] Internship at Adobe Research: Machine Learning for Digital Marketing

information of up to two references, and other relevant documents. Please send your application to Mohammad Ghavamzadeh (ghava...@adobe.com) (http://www.adobe.com/technology/people/san-jose/mohammad-ghavamzadeh.html) and Georgios Theocharous (theoc...@adobe.com) (http://www.adobe.com/technology

[UAI] Postdoctoral Position in Machine Learning at INRIA Lille - Team SequeL

rnals. The candidate will work with Mohammad Ghavamzadeh (http://chercheurs.lille.inria.fr/~ghavamza) and other researchers at Team SequeL (https://sequel.lille.inria.fr). With the growth of online marketing, customers visit websites on a regular basis (sometimes daily in the case of banking, e

[UAI] Ph.D. Position in Machine Learning at INRIA Lille - Team SequeL

problem of "Sequential Decision-making with Big Data" (see the description below), collaborate with researchers and Ph.D. students at INRIA and outside, and publish the results of her/his research in conferences and journals. The candidate will work with Mohammad Ghavamzadeh (http://cherc