% Key papers for Learned auction design (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{icml2019_optimal_37626, title = {{Optimal Auctions through Deep Learning}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2019}, url = {https://icml.cc/virtual/2019/poster/3967}, } @inproceedings{aaai2017_mechanism_100964, title = {{Mechanism Design in Social Networks}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2017}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/10605}, } @inproceedings{neurips2016_sample_55978, title = {{Sample Complexity of Automated Mechanism Design}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2016}, url = {https://nips.cc/virtual/2016/poster/7013}, } @inproceedings{aaai2018_muda_101000, title = {{MUDA: A Truthful Multi-Unit Double-Auction Mechanism}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2018}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/11450}, } @inproceedings{aaai2016_assignment_104765, title = {{Assignment and Pricing in Roommate Market}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2016}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/10019}, } @inproceedings{aaai2021_poa_1171, title = {{PoA of Simple Auctions with Interdependent Values}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2021}, url = {https://aaai.org/papers/05321-poa-of-simple-auctions-with-interdependent-values/}, } @inproceedings{aaai2017_probably_100983, title = {{Probably Approximately Efficient Combinatorial Auctions via Machine Learning}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2017}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/10624}, } @inproceedings{aaai2022_multi_2443, title = {{Multi-Unit Auction in Social Networks with Budgets}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2022}, url = {https://aaai.org/papers/05228-multi-unit-auction-in-social-networks-with-budgets/}, } @inproceedings{neurips2019_optimal_58762, title = {{Optimal Pricing in Repeated Posted-Price Auctions with Different Patience of the Seller and the Buyer}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2019}, url = {https://nips.cc/virtual/2019/poster/13323}, } @inproceedings{aaai2022_signaling_2746, title = {{Signaling in Posted Price Auctions}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2022}, url = {https://aaai.org/papers/04941-signaling-in-posted-price-auctions/}, } @inproceedings{aaai2023_utility_4926, title = {{Utility Maximizer or Value Maximizer: Mechanism Design for Mixed Bidders in Online Advertising}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2023}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/25718}, } @inproceedings{neurips2017_dynamic_56273, title = {{Dynamic Revenue Sharing}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2017}, url = {https://nips.cc/virtual/2017/poster/9054}, } @inproceedings{neurips2020_hitting_60016, title = {{Hitting the High Notes: Subset Selection for Maximizing Expected Order Statistics}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2020}, url = {https://nips.cc/virtual/2020/poster/18327}, } @inproceedings{neurips2021_preferencenet_62635, title = {{PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2021}, url = {https://nips.cc/virtual/2021/poster/27429}, } @inproceedings{aaai2020_mechanism_100897, title = {{Mechanism Design with Predicted Task Revenue for Bike Sharing Systems}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2020}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/5589}, } @inproceedings{neurips2019_learning_58469, title = {{Learning Auctions with Robust Incentive Guarantees}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2019}, url = {https://nips.cc/virtual/2019/poster/14141}, } @inproceedings{aaai2017_randomized_100955, title = {{Randomized Mechanisms for Selling Reserved Instances in Cloud}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2017}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/10596}, } @inproceedings{aaai2016_optimizing_104762, title = {{Optimizing Trading Assignments in Water Right Markets}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2016}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/10016}, } @inproceedings{aaai2021_online_1115, title = {{Online Posted Pricing with Unknown Time-Discounted Valuations}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2021}, url = {https://aaai.org/papers/05682-online-posted-pricing-with-unknown-time-discounted-valuations/}, } @inproceedings{icml2023_statistical_42718, title = {{Statistical Inference and A/B Testing for First-Price Pacing Equilibria}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2023}, url = {https://icml.cc/virtual/2023/poster/25234}, } @inproceedings{aaai2024_machine_6592, title = {{Machine Learning-Powered Combinatorial Clock Auction}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28850}, } @inproceedings{neurips2024_efficiency_70422, title = {{Efficiency of the First-Price Auction in the Autobidding World}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/96683}, } @inproceedings{aaai2024_simultaneous_7348, title = {{Simultaneous Optimization of Bid Shading and Internal Auction for Demand-Side Platforms}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28855}, } @inproceedings{icml2024_a_43989, title = {{A Field Guide for Pacing Budget and ROS Constraints}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/34463}, } @inproceedings{neurips2024_sample_71188, title = {{Sample Complexity of Posted Pricing for a Single Item}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/96043}, } @inproceedings{aaai2024_strategic_7422, title = {{Strategic Recommendation: Revenue Optimal Matching for Online Platforms (Student Abstract)}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/30432}, } @inproceedings{aaai2025_increasing_9557, title = {{Increasing Revenue in Efficient Combinatorial Auctions by Learning to Generate Artificial Competition}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/33482}, } @inproceedings{aaai2025_merging_9941, title = {{Merging Mechanisms for Ads and Organic Items in E-commerce Platforms}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/33479}, } @inproceedings{aaai2025_on_10165, title = {{On Designing the Optimal Integrated Ad Auction in E-commerce Platforms}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/33347}, } @inproceedings{icml2024_equilibrium_44423, title = {{Equilibrium of Data Markets with Externality}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/34029}, } @inproceedings{aaai2025_learning_9742, title = {{Learning Optimal Auctions with Correlated Value Distributions}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/33525}, } @inproceedings{aaai2025_on_10181, title = {{On the Power of Randomization for Obviously Strategy-Proof Mechanisms}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/33540}, } @inproceedings{aaai2025_optimal_10208, title = {{Optimal Auction Design for Mixed Bidders}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/33487}, } @inproceedings{icml2024_bootstrapping_44316, title = {{Bootstrapping Fisher Market Equilibrium and First-Price Pacing Equilibrium}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/34136}, } @inproceedings{icml2025_optimal_45910, title = {{Optimal Auction Design in the Joint Advertising}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2025}, url = {https://icml.cc/virtual/2025/poster/46634}, } @inproceedings{icml2025_prices_46081, title = {{Prices, Bids, Values: One ML-Powered Combinatorial Auction to Rule Them All}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2025}, url = {https://icml.cc/virtual/2025/poster/46478}, } @inproceedings{icml2026_from_49334, title = {{From Welfare to Utility: Generalized Objectives in Budget-Feasible Procurement}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=1Uvqz8NQ5z}, } @inproceedings{icml2026_enhancing_52147, title = {{Enhancing Affine Maximizer Auctions with Correlation-Aware Payment}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=TA3NDHgNJh}, } @inproceedings{icml2026_budget_53697, title = {{Budget-Feasible Mechanisms for Submodular Welfare Maximization in Procurement Auctions}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=hqFugMmCqJ}, } @inproceedings{icml2026_model_55004, title = {{Model Monotonicity in Autobidding Auctions: When Do Better Predictions Lead to Better Outcomes?}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=uiw8P2JGbW}, }