revenue optimization

Optimal-er Auctions through Attention NeurIPS 2022 Public Signaling in Bayesian Ad Auctions IJCAI 2022 A Permutation-Equivariant Neural Network Architecture For Auction Design AAAI 2021 Coupon Design in Advertising Systems AAAI 2021 Learning Optimal Auctions with Correlated Valuations from Samples ICML 2021 Learning to Price Against a Moving Target ICML 2021 Model Distillation for Revenue Optimization: Interpretable Personalized Pricing ICML 2021 Reaping the Benefits of Bundling under High Production Costs AISTATS 2021 Reserve Price Optimization for First Price Auctions in Display Advertising ICML 2021 Revenue-Incentive Tradeoffs in Dynamic Reserve Pricing ICML 2021 RevMan: Revenue-aware Multi-task Online Insurance Recommendation AAAI 2021 Robust Auction Design in the Auto-bidding World NeurIPS 2021 Robust Learning of Optimal Auctions NeurIPS 2021 The Limits of Optimal Pricing in the Dark NeurIPS 2021 Certifying Strategyproof Auction Networks NeurIPS 2020 Contextual Reserve Price Optimization in Auctions via Mixed Integer Programming NeurIPS 2020 Efficient Algorithms for Learning Revenue-Maximizing Two-Part Tariffs IJCAI 2020 Myersonian Regression NeurIPS 2020 A Robust Non-Clairvoyant Dynamic Mechanism for Contextual Auctions NeurIPS 2019 Dispatching Through Pricing: Modeling Ride-Sharing and Designing Dynamic Prices IJCAI 2019 Learning Auctions with Robust Incentive Guarantees NeurIPS 2019 Learning to Clear the Market ICML 2019 Optimal Auctions through Deep Learning ICML 2019 Optimal Dynamic Auctions Are Virtual Welfare Maximizers AAAI 2019 Optimal Pricing in Repeated Posted-Price Auctions with Different Patience of the Seller and the Buyer NeurIPS 2019