Yahoo Research
@YahooResearch
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Powering products with cutting-edge research at scale.
Joined November 2009
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
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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
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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
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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
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"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: https://t.co/VNDWmCSiem and paper:
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"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: https://t.co/s9pc1PJ1Ve and paper: https://t.co/0vHhHmvWyy)
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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
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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: https://t.co/jzIkAmWUpQ
#YahooResearch #opensource #advertising #onlineadvertising #budgetpacing
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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
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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: https://t.co/crCdxWoR0Y
https://t.co/EMHMK7bmSn
https://t.co/FA64kbUUQY
#YahooResearch #NeurIPS2023 #NeurIPS
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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:
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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.
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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: https://t.co/KUHoeE2pnq
#YahooResearch #KDD2023
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“Counterfactual Fairness in Synthetic Data Generation” Co-authored by Mahed Abroshan, Mohammad Mahdi Khalili, Andrew Elliott See details here: https://t.co/GbCdxUg6Ta
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“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: https://t.co/Cr6sLPvBtB
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“Regret Bounds for Multilabel Classification in Sparse Label Regimes” Co-authored by Róbert Busa-Fekete, Heejin Choi, Krzysztof Dembczynski, Claudio Gentile, Henry Reeve, Balazs Szorenyi See details here: https://t.co/neiUs0aM69
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“Order-Invariant Cardinality Estimators Are Differentially Private” Co-authored by Charlie Dickens, Justin Thaler, Daniel Ting See details here: https://t.co/61caafUEIe
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In addition, we presented 3 poster papers, and will present one workshop paper #SyntheticData4MLWorkshop on Friday
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We are hiring, so please visit our website to get your application started and come chat with our team about these opportunities. See: https://t.co/MMa7laXK5M
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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
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