SlowGuess/NeurIPS_2023_OCR huggingface dataset:
Hussein A Abdou and John Pointon. 2011. Credit scoring, statistical techniques and evaluation criteria: a review of the literature. Intelligent systems in accounting, finance and management 18, 2-3 (2011), 59-88.
Gavin Brown, Shlomi Hod, and Iden Kalemaj. 2022. Performative prediction in a stateful world. In International Conference on Artificial Intelligence and Statistics. PMLR, 6045-6061.
Xuanyu Cao and Tamer Başar. 2020. Decentralized multi-agent stochastic optimization with pairwise constraints and quantized communications. IEEE Transactions on Signal Processing 68 (2020), 3296-3311.
Xuanyu Cao and Tamer Bāsar. 2022. Distributed constrained online convex optimization over multiple access fading channels. IEEE Transactions on Signal Processing 70 (2022), 3468-3483.
Fabrizio Detassis, Michele Lombardi, and Michela Milano. 2021. Teaching the old dog new tricks: Supervised learning with constraints. In Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 35. 3742-3749.
Jinshuo Dong, Aaron Roth, Zachary Schutzman, Bo Waggoner, and Zhiwei Steven Wu. 2018. Strategic classification from revealed preferences. In Proceedings of the 2018 ACM Conference on Economics and Computation. 55-70.
Dmitriy Drusvyatskiy and Lin Xiao. 2022. Stochastic optimization with decision-dependent distributions. Mathematics of Operations Research (2022).
Hans Föllmer and Alexander Schied. 2002. Convex measures of risk and trading constraints. Finance and stochastics 6 (2002), 429-447.
Francisco García-Sánchez, Ricardo Colomo-Palacios, and Rafael Valencia-García. 2020. A social-semantic recommender system for advertisements. Information Processing & Management 57, 2 (2020), 102153.
Michael Grant and Stephen Boyd. 2014. CVX: Matlab software for disciplined convex programming, version 2.1.
Moritz Hardt, Nimrod Megiddo, Christos Papadimitriou, and Mary Wootters. 2016. Strategic classification. In Proceedings of the 2016 ACM conference on innovations in theoretical computer science. 111-122.
Daniel P Heyman and Matthew J Sobel. 2004. Stochastic models in operations research: stochastic optimization. Vol. 2. Courier Corporation.
Zachary Izzo, Lexing Ying, and James Zou. 2021. How to learn when data reacts to your model: performative gradient descent. In International Conference on Machine Learning. PMLR, 4641-4650.
Meena Jagadeesan, Tijana Zrnic, and Celestine Mendler-Dünner. 2022. Regret minimization with performative feedback. In International Conference on Machine Learning. PMLR, 9760-9785.
Belhal Karimi, Blazej Miasojedow, Eric Moulines, and Hoi-To Wai. 2019. Non-asymptotic analysis of biased stochastic approximation scheme. In Conference on Learning Theory. PMLR, 1944-1974.
Susie Khamis. 2020. Branding diversity: New advertising and cultural strategies. Routledge.