Deng, Yuan

26 publications

ICLR 2025 Addax: Utilizing Zeroth-Order Gradients to Improve Memory Efficiency and Performance of SGD for Fine-Tuning Language Models Zeman Li, Xinwei Zhang, Peilin Zhong, Yuan Deng, Meisam Razaviyayn, Vahab Mirrokni

NeurIPS 2025 No-Regret Online Autobidding Algorithms in First-Price Auctions Yilin Li, Yuan Deng, Wei Tang, Hanrui Zhang

NeurIPS 2025 PiKE: Adaptive Data Mixing for Large-Scale Multi-Task Learning Under Low Gradient Conflicts Zeman Li, Yuan Deng, Peilin Zhong, Meisam Razaviyayn, Vahab Mirrokni

ICLRW 2025 PiKE: Adaptive Data Mixing for Multi-Task Learning Under Low Gradient Conflicts Zeman Li, Yuan Deng, Peilin Zhong, Meisam Razaviyayn, Vahab Mirrokni

ICML 2025 Procurement Auctions via Approximately Optimal Submodular Optimization Yuan Deng, Amin Karbasi, Vahab Mirrokni, Renato Paes Leme, Grigoris Velegkas, Song Zuo

NeurIPSW 2024 Addax: Utilizing Zeroth-Order Gradients to Improve Memory Efficiency and Performance of SGD for Fine-Tuning Language Models Zeman Li, Xinwei Zhang, Peilin Zhong, Yuan Deng, Meisam Razaviyayn, Vahab Mirrokni

NeurIPSW 2024 Addax: Utilizing Zeroth-Order Gradients to Improve Memory Efficiency and Performance of SGD for Fine-Tuning Language Models Zeman Li, Xinwei Zhang, Peilin Zhong, Yuan Deng, Meisam Razaviyayn, Vahab Mirrokni

NeurIPS 2024 Autobidder's Dilemma: Why More Sophisticated Autobidders Lead to Worse Auction Efficiency Yuan Deng, Jieming Mao, Vahab Mirrokni, Hanrui Zhang, Song Zuo

NeurIPS 2024 Efficiency of the First-Price Auction in the Autobidding World Yuan Deng, Jieming Mao, Vahab Mirrokni, Hanrui Zhang, Song Zuo

ICMLW 2024 LLMs at the Bargaining Table Yuan Deng, Vahab Mirrokni, Renato Paes Leme, Hanrui Zhang, Song Zuo

ICML 2023 Multi-Channel Autobidding with Budget and ROI Constraints Yuan Deng, Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang, Vahab Mirrokni

NeurIPS 2022 Posted Pricing and Dynamic Prior-Independent Mechanisms with Value Maximizers Yuan Deng, Vahab Mirrokni, Hanrui Zhang

NeurIPS 2021 Prior-Independent Dynamic Auctions for a Value-Maximizing Buyer Yuan Deng, Hanrui Zhang

ICML 2021 Revenue-Incentive Tradeoffs in Dynamic Reserve Pricing Yuan Deng, Sebastien Lahaie, Vahab Mirrokni, Song Zuo

NeurIPS 2021 Robust Auction Design in the Auto-Bidding World Santiago Balseiro, Yuan Deng, Jieming Mao, Vahab Mirrokni, Song Zuo

ICML 2020 Robust Pricing in Dynamic Mechanism Design Yuan Deng, Sebastien Lahaie, Vahab Mirrokni

NeurIPS 2019 A Robust Non-Clairvoyant Dynamic Mechanism for Contextual Auctions Yuan Deng, Sébastien Lahaie, Vahab Mirrokni

IJCAI 2019 Preferred Deals in General Environments Yuan Deng, Sébastien Lahaie, Vahab S. Mirrokni

NeurIPS 2019 Prior-Free Dynamic Auctions with Low Regret Buyers Yuan Deng, Jon Schneider, Balasubramanian Sivan

NeurIPS 2019 Strategizing Against No-Regret Learners Yuan Deng, Jon Schneider, Balasubramanian Sivan

AAAI 2018 Coalition Manipulation of Gale-Shapley Algorithm Weiran Shen, Pingzhong Tang, Yuan Deng

AAAI 2018 Disarmament Games with Resource Yuan Deng, Vincent Conitzer

AAAI 2017 Disarmament Games Yuan Deng, Vincent Conitzer

COLT 2017 Homotopy Analysis for Tensor PCA Anima Anandkumar, Yuan Deng, Rong Ge, Hossein Mobahi

AAAI 2017 Moral Decision Making Frameworks for Artificial Intelligence Vincent Conitzer, Walter Sinnott-Armstrong, Jana Schaich Borg, Yuan Deng, Max Kramer

AAAI 2017 The Complexity of Stable Matchings Under Substitutable Preferences Yuan Deng, Debmalya Panigrahi, Bo Waggoner