revenue optimization

Matching Policy Design for Gig Platforms with “Priority” Features AAAI 2026 SACO: Sequence-Aware Constrained Optimization Framework for Coupon Distribution in E-commerce AAAI 2026 Weakest Bidder Types and New Core-Selecting Combinatorial Auctions AAAI 2026 Braess’s Paradox of Generative AI AAAI 2025 Increasing Revenue in Efficient Combinatorial Auctions by Learning to Generate Artificial Competition AAAI 2025 Learning Optimal Auctions with Correlated Value Distributions AAAI 2025 Fair Allocation in Dynamic Mechanism Design NeurIPS 2024 Learning to Price Homogeneous Data NeurIPS 2024 Randomized Learning-Augmented Auctions with Revenue Guarantees IJCAI 2024 Randomized Truthful Auctions with Learning Agents NeurIPS 2024 Strategic Recommendation: Revenue Optimal Matching for Online Platforms (Student Abstract) AAAI 2024 Bicriteria Multidimensional Mechanism Design with Side Information NeurIPS 2023 Data Market Design through Deep Learning NeurIPS 2023 Learning Revenue Maximization Using Posted Prices for Stochastic Strategic Patient Buyers AAAI 2023 Online Pricing for Multi-User Multi-Item Markets NeurIPS 2023 On the Robustness of Mechanism Design under Total Variation Distance NeurIPS 2023 Optimal Pricing Schemes for Identical Items with Time-Sensitive Buyers AAAI 2023 Pricing against a Budget and ROI Constrained Buyer AISTATS 2023 A Context-Integrated Transformer-Based Neural Network for Auction Design ICML 2022 Bayesian Auctions with Efficient Queries (Extended Abstract) IJCAI 2022 Benefits of Permutation-Equivariance in Auction Mechanisms NeurIPS 2022 Dynamic Car Dispatching and Pricing: Revenue and Fairness for Ridesharing Platforms IJCAI 2022 Individual fairness in feature-based pricing for monopoly markets UAI 2022 Maximizing Revenue under Market Shrinkage and Market Uncertainty NeurIPS 2022 On Infinite Separations Between Simple and Optimal Mechanisms NeurIPS 2022