revenue maximization

Optimal Auction Design for Mixed Bidders AAAI 2025 Private Mechanism Design via Quantile Estimation ICLR 2025 A Bias-Free Revenue-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning IJCAI 2024 Optimal Mechanism in a Dynamic Stochastic Knapsack Environment AAAI 2024 Sample Complexity of Posted Pricing for a Single Item NeurIPS 2024 Strategic Recommendation: Revenue Optimal Matching for Online Platforms (Student Abstract) AAAI 2024 Learning Revenue Maximization Using Posted Prices for Stochastic Strategic Patient Buyers AAAI 2023 Revenue Maximization Mechanisms for an Uninformed Mediator with Communication Abilities IJCAI 2023 Benefits of Permutation-Equivariance in Auction Mechanisms NeurIPS 2022 On Infinite Separations Between Simple and Optimal Mechanisms NeurIPS 2022 Posted Pricing and Dynamic Prior-independent Mechanisms with Value Maximizers NeurIPS 2022 Product Ranking for Revenue Maximization with Multiple Purchases NeurIPS 2022 Selling Data To a Machine Learner: Pricing via Costly Signaling ICML 2022 Signaling in Posted Price Auctions AAAI 2022 Auction Learning as a Two-Player Game ICLR 2021 Coupon Design in Advertising Systems AAAI 2021 Generalizing Complex Hypotheses on Product Distributions: Auctions, Prophet Inequalities, and Pandora’s Problem COLT 2021 Jointly Learning Prices and Product Features IJCAI 2021 Joint Online Learning and Decision-making via Dual Mirror Descent ICML 2021 Learning Within an Instance for Designing High-Revenue Combinatorial Auctions IJCAI 2021 PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning NeurIPS 2021 Revenue maximization via machine learning with noisy data NeurIPS 2021 A Game-Theoretic Analysis of the Empirical Revenue Maximization Algorithm with Endogenous Sampling NeurIPS 2020 Certifying Strategyproof Auction Networks NeurIPS 2020 Incentive-Compatible Diffusion Auctions IJCAI 2020