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Joined November 2009
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Hello @CVPR , check out our “Salient Object-Aware Background Generation using Text-Guided Diffusion Models” paper co-authored by Erfan, Joao, Kapil, Shaunak, Mikhail, Yueh-Ning, and Paloma for the Generative Models for Computer Vision (GCV) workshop @ #CVPR2024 . #YahooResearch
Hi @ieeeICDE 2024,
Join Liuqing presenting their work “An Effective, Efficient,and Stable Framework for Query Clustering” co-authored by Chang, Liuqing, Donghyun, Xinyue and Rao on Thirsday @ 13:15, Tuning and Industrial Applications Session in Theater 2.
#YahooResearch #ICDE2024
Hi @TheWebConf 2024,
Check out our poster presentation on “Mystique: A Budget Pacing System for Performance Optimization in Online Advertising”, co-authored by Rotem, Rani, Alex, Oren, Ariel and Yair, presented today at 12:00 - 1:30 PM
#YahooResearch #TheWebConference #TheWebConf
Hi @iclr_conf, check out our poster on May 10, 4:30-6:30PM CEST:"Consistent algorithms for multi-label classification with macro-at-k metrics", by Erik Schultheis, Wojciech Kotlowski, Marek Wydmuch, Rohit Babbar, Strom Borman, Krzysztof Dembczynski.
#YahooResearch #ICLR2024 #ICLR
Join us at @aistats_conf and don’t miss our poster presentations:
- "Imposing Fairness Constraints in Synthetic Data Generation" by Mahed, Andrew and Mahdi
- "SDEs for Minimax Optimization" by @EneaMC, Antonio,@HansKersting, Frank and Aurelien
#YahooResearch #AISTATS2024 #AISTATS
"Imposing Fairness Constraints in Synthetic Data Generation" by Mahed Abroshan, Andrew Elliot, Mahdi Khalili will be up on Thursday, May 2 (Poster Session 1), 17:00-19:00
(See more for poster: virtual.aistats.org/media/Po…
and paper: proceedings.mlr.press/v238/a…)
"SDEs for Minimax Optimization" by Enea Monzio Compagnoni, Antonio Orvieto, Hans Kersting, Frank Norbert Proske, Aurelien Lucchi will be up on on Saturday, May 4 (Poster Session 3), 15:00-17:00
See more for poster: virtual.aistats.org/media/Po…
and paper: proceedings.mlr.press/v238/m…
We're pleased to introduce Mystique – our open-source budget-pacing solution tailored for performance optimization in online advertising
The source code is available here:
lnkd.in/dtuBdAYu
#YahooResearch #opensource #advertising #onlineadvertising #budgetpacing
Hello @ieeebigdata 2023! Join Alex and Naama presenting their papers in the Industry & Government sessions on Dec 16th, 2pm CET and Dec 17, 2 PM CET, respectively.
#IEEEBigData #IEEEBigData2023 #YahooResearch
Join us at @NeurIPSConf 2023 and don’t miss our poster presentations today and tomorrow 10:45 a.m. CST — 12:45 p.m. CST
Read more at:
neurips.cc/virtual/2023/post…
neurips.cc/virtual/2023/post…
neurips.cc/virtual/2023/post…
#YahooResearch #NeurIPS2023 #NeurIPS
Hello @kdd_news, you can meet @YahooResearch Research Scientist Martin Pavlovski and Sr Princ Research Engineer Srinath Ravindran presenting “Extreme Multi-Label Classification for Ad Targeting using Factorization”.
Check it out: youtube.com/watch?v=SLnMLIxJ…
#YahooResearch #KDD2023
The paper co-authored by Martin, Srinath, Djordje, Shubham, Ivan, Nelson and Jelena tackles the problem of extreme multi-label classification in applications related to personalization and recommendation, with satisfactory trade-off between predictive performance & latency.
Meet Martin and Srinath on Tuesday, August 8, 6:00 PM- 8:00 PM during the poster session or on Wednesday August 9, 1:30 PM-3:30 PM when Martin will present the paper in Room 101A, (Advertising 2).
Read more at: dl.acm.org/doi/10.1145/35803…
Hello @NeurIPSConf! @YahooResearch is excited to be a Gold Sponsor at #NeurIPS2022 happening this week.
Visit us at our booth and meet our scientists and engineers.
Find #YahooResearch @ #NeurIPS2022 #NeuralNetworks #NeuralInformationProcessingSystems #Research #MachineLearning
“Leveraging the Hints: Adaptive Bidding in Repeated First-Price Auctions”
Co-authored by Wei Zhang, Yanjun Han, Zhengyuan Zhou, Aaron Flores, Tsachy Weissman
See details here: openreview.net/pdf?id=hjqTeP…
“Counterfactual Fairness in Synthetic Data Generation”
Co-authored by Mahed Abroshan, Mohammad Mahdi Khalili, Andrew Elliott
See details here: openreview.net/pdf?id=tge5Ni…
