% Key papers for Learning for pricing and auctions (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{neurips2019_dynamic_58176,
  title = {{Dynamic Incentive-Aware Learning: Robust Pricing in Contextual Auctions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14004},
}

@inproceedings{aaai2019_learning_103225,
  title = {{Learning Resource Allocation and Pricing for Cloud Profit Maximization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4749},
}

@inproceedings{aaai2018_a_105779,
  title = {{A Combinatorial-Bandit Algorithm for the Online Joint Bid/Budget Optimization of Pay-per-Click Advertising Campaigns}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11888},
}

@inproceedings{neurips2018_contextual_56974,
  title = {{Contextual Pricing for Lipschitz Buyers}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11550},
}

@inproceedings{aaai2017_additional_105695,
  title = {{Additional Multi-Touch Attribution for Online Advertising}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10737},
}

@inproceedings{aaai2016_online_105367,
  title = {{Online Spatio-Temporal Matching in Stochastic and Dynamic Domains}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2016},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10425},
}

@inproceedings{aaai2016_lift_104771,
  title = {{Lift-Based Bidding in Ad Selection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2016},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10025},
}

@inproceedings{icml2020_online_38576,
  title = {{Online Pricing with Offline Data: Phase Transition and Inverse Square Law}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/5926},
}

@inproceedings{neurips2019_low_58562,
  title = {{Low-Rank Bandit Methods for High-Dimensional Dynamic Pricing}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14442},
}

@inproceedings{aaai2017_efficient_99785,
  title = {{Efficient Delivery Policy to Minimize User Traffic Consumption in Guaranteed Advertising}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10494},
}

@inproceedings{aaai2022_real_2614,
  title = {{Real-Time Driver-Request Assignment in Ridesourcing}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/03840-real-time-driver-request-assignment-in-ridesourcing/},
}

@inproceedings{icml2023_multi_42359,
  title = {{Multi-channel Autobidding with Budget and ROI Constraints}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/23643},
}

@inproceedings{aaai2020_online_102309,
  title = {{Online Second Price Auction with Semi-Bandit Feedback under the Non-Stationary Setting}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6171},
}

@inproceedings{neurips2019_prior_58831,
  title = {{Prior-Free Dynamic Auctions with Low Regret Buyers}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13627},
}

@inproceedings{aaai2019_optimizing_103307,
  title = {{Optimizing Discount and Reputation Trade-Offs in E-Commerce Systems: Characterization and Online Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4800},
}

@inproceedings{icml2018_weakly_37081,
  title = {{Weakly Consistent Optimal Pricing Algorithms in Repeated Posted-Price Auctions with Strategic Buyer}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/1911},
}

@inproceedings{icml2020_reserve_38696,
  title = {{Reserve Pricing in Repeated Second-Price Auctions with Strategic Bidders}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/5789},
}

@inproceedings{icml2020_when_38934,
  title = {{When Demands Evolve Larger and Noisier: Learning and Earning in a Growing Environment}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6361},
}

@inproceedings{neurips2022_online_65348,
  title = {{Online Learning and Pricing for Network Revenue Management with Reusable Resources}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/52975},
}

@inproceedings{icml2016_pricing_35955,
  title = {{Pricing a Low-regret Seller}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2016},
  url = {https://proceedings.mlr.press/v48/heidari16.html},
}

@inproceedings{aaai2024_dynamic_5764,
  title = {{Dynamic Budget Throttling in Repeated Second-Price Auctions}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28816},
}

@inproceedings{aaai2024_percentile_6943,
  title = {{Percentile Risk-Constrained Budget Pacing for Guaranteed Display Advertising in Online Optimization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28636},
}

@inproceedings{neurips2025_learning_77435,
  title = {{Learning to price with resource constraints: from full information to machine-learned prices}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=TmU3yfLTsS},
}

@inproceedings{neurips2024_improved_73453,
  title = {{Improved Algorithms for Contextual Dynamic Pricing}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94013},
}

@inproceedings{neurips2025_transfer_78569,
  title = {{Transfer Faster, Price Smarter: Minimax Dynamic Pricing under Cross-Market Preference Shift}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=g2f0UoasGs},
}

@inproceedings{icml2024_online_44235,
  title = {{Online Learning in Betting Markets: Profit versus Prediction}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34217},
}

@inproceedings{icml2025_learning_48554,
  title = {{Learning Safe Strategies for Value Maximizing Buyers in Uniform Price Auctions}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44067},
}

@inproceedings{icml2025_transfer_49157,
  title = {{Transfer Learning for Nonparametric Contextual Dynamic Pricing}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/43468},
}

@inproceedings{neurips2024_randomized_72337,
  title = {{Randomized Truthful Auctions with Learning Agents}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95010},
}

@inproceedings{neurips2024_improved_72378,
  title = {{Improved learning rates in multi-unit uniform price auctions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94974},
}

@inproceedings{aaai2026_saco_106218,
  title = {{SACO: Sequence-Aware Constrained Optimization Framework for Coupon Distribution in E-commerce}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38525},
}

@inproceedings{aaai2025_adaptive_8034,
  title = {{Adaptive Market Making with Inventory Constraints via Online Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35492},
}

@inproceedings{aaai2025_non_10129,
  title = {{Non-stochastic Budgeted Online Pricing with Semi-Bandit Feedback}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34089},
}

@inproceedings{icml2024_pricing_43457,
  title = {{Pricing with Contextual Elasticity and Heteroscedastic Valuation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34995},
}

@inproceedings{icml2025_an_48443,
  title = {{An Instrumental Value for Data Production and its Application to Data Pricing}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44174},
}

@inproceedings{icml2026_a_51429,
  title = {{A Stronger Benchmark for Online Bilateral Trade: From Fixed Prices to Distributions}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=M52jcbntdB},
}

@inproceedings{icml2026_the_52320,
  title = {{The (Marginal) Value of a Search Ad: An Online Causal Framework for Repeated Second-price Auctions}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=UflglraWRa},
}

@inproceedings{icml2026_revenue_54224,
  title = {{Revenue Guarantees of No-Swap-Regret Dynamics in First Price Auctions}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=n50Ipdt5d5},
}

@inproceedings{neurips2024_fair_71473,
  title = {{Fair Online Bilateral Trade}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95787},
}

@inproceedings{neurips2024_learning_71633,
  title = {{Learning to Price Homogeneous Data}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95644},
}