• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 23 matches

• 2024
• 
  Damien Berriaud, Ezzat Elokda, Devansh Jalota, Emilio Frazzoli, Marco Pavone, Florian Dörfler:
  To Spend or to Gain: Online Learning in Repeated Karma Auctions. CoRR abs/2403.04057 (2024)
• 
  Benjamin Heymann, Rémi Chan-Renous-Legoubin, Alexandre Gilotte:
  A pragmatic policy learning approach to account for users' fatigue in repeated auctions. CoRR abs/2407.10504 (2024)
• 2023
• 
  Qian Wang, Zongjun Yang, Xiaotie Deng, Yuqing Kong:
  Learning to Bid in Repeated First-Price Auctions with Budgets. ICML 2023: 36494-36513
• 
  Qian Wang, Zongjun Yang, Xiaotie Deng, Yuqing Kong:
  Learning to Bid in Repeated First-Price Auctions with Budgets. CoRR abs/2304.13477 (2023)
• 
  Rigel Galgana, Negin Golrezaei:
  Learning in Repeated Multi-Unit Pay-As-Bid Auctions. CoRR abs/2307.15193 (2023)
• 2022
• 
  Thomas Nedelec, Clément Calauzènes, Noureddine El Karoui, Vianney Perchet:
  Learning in Repeated Auctions. Found. Trends Mach. Learn. 15(3): 176-334 (2022)
• 
  Rui Ai, Chang Wang, Chenchen Li, Jinshan Zhang, Wenhan Huang, Xiaotie Deng:
  No-regret Learning in Repeated First-Price Auctions with Budget Constraints. CoRR abs/2205.14572 (2022)
• 
  Yudong Hu, Congying Han, Tiande Guo, Hao Xiao:
  Learning with Opponent Modeling in Repeated Auctions. CoRR abs/2212.02723 (2022)
• 2021
• 
  Andrew L. Liu, Zibo Zhao:
  Multi-Agent Learning in Repeated Double-side Auctions for Peer-to-peer Energy Trading. HICSS 2021: 1-10
• 
  Gali Noti, Vasilis Syrgkanis:
  Bid Prediction in Repeated Auctions with Learning. WWW 2021: 3953-3964
• 2020
• 
  Alexey Drutsa:
  Optimal Non-parametric Learning in Repeated Contextual Auctions with Strategic Buyer. ICML 2020: 2668-2677
• 
  Yanjun Han, Zhengyuan Zhou, Tsachy Weissman:
  Optimal No-regret Learning in Repeated First-price Auctions. CoRR abs/2003.09795 (2020)
• 
  Gali Noti, Vasilis Syrgkanis:
  Bid Prediction in Repeated Auctions with Learning. CoRR abs/2007.13193 (2020)
• 
  Thomas Nedelec, Clément Calauzènes, Noureddine El Karoui, Vianney Perchet:
  Learning in repeated auctions. CoRR abs/2011.09365 (2020)
• 2019
• 
  Santiago R. Balseiro, Yonatan Gur:
  Learning in Repeated Auctions with Budgets: Regret Minimization and Equilibrium. Manag. Sci. 65(9): 3952-3968 (2019)
• 
  Orcun Karaca, Pier Giuseppe Sessa, Anna Leidi, Maryam Kamgarpour:
  No-Regret Learning from Partially Observed Data in Repeated Auctions. CoRR abs/1912.09905 (2019)
• 2017
• 
  M. Sevi Baltaoglu, Lang Tong, Qing Zhao:
  Online Learning of Optimal Bidding Strategy in Repeated Multi-Commodity Auctions. NIPS 2017: 4507-4517
• 
  Santiago R. Balseiro, Yonatan Gur:
  Learning in Repeated Auctions with Budgets: Regret Minimization and Equilibrium. EC 2017: 609
• 
  Sevi Baltaoglu, Lang Tong, Qing Zhao:
  Online Learning of Optimal Bidding Strategy in Repeated Multi-Commodity Auctions. CoRR abs/1703.02567 (2017)
• 2016
• 
  Jonathan Weed, Vianney Perchet, Philippe Rigollet:
  Online learning in repeated auctions. COLT 2016: 1562-1583
• 2015
• 
  Jonathan Weed, Vianney Perchet, Philippe Rigollet:
  Online learning in repeated auctions. CoRR abs/1511.05720 (2015)
• 2011
• 
  Zhu Han, Rong Zheng, Harold Vincent Poor:
  Repeated Auctions with Bayesian Nonparametric Learning for Spectrum Access in Cognitive Radio Networks. IEEE Trans. Wirel. Commun. 10(3): 890-900 (2011)
• 2009
• 
  Zhu Han, Rong Zheng, H. Vincent Poor:
  Repeated Auctions with Learning for Spectrum Access in Cognitive Radio Networks. CoRR abs/0910.2240 (2009)