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cs.GT2025

Autobidding Arena: unified evaluation of the classical and RL-based autobidding algorithms

Andrey Pudovikov, Alexandra Khirianova, Ekaterina Solodneva +3

Advertisement auctions play a crucial role in revenue generation for e-commerce companies. To make the bidding procedure scalable to thousands of auctions, the automatic bidding (a…

cs.GT2025

Robust autobidding for noisy conversion prediction models

Andrey Pudovikov, Alexandra Khirianova, Ekaterina Solodneva +4

Managing millions of digital auctions is an essential task for modern advertising auction systems. The main approach to managing digital auctions is an autobidding approach, which…

cs.AI2025

BAT: Benchmark for Auto-bidding Task

Alexandra Khirianova, Ekaterina Solodneva, Andrey Pudovikov +5

The optimization of bidding strategies for online advertising slot auctions presents a critical challenge across numerous digital marketplaces. A significant obstacle to the develo…

cs.IR2025

RARe: Raising Ad Revenue Framework with Context-Aware Reranking

Ekaterina Solodneva, Alexandra Khirianova, Aleksandr Katrutsa +4

Modern recommender systems excel at optimizing search result relevance for e-commerce platforms. While maintaining this relevance, platforms seek opportunities to maximize revenue…

cs.LG2025

Functional multi-armed bandit and the best function identification problems

Yuriy Dorn, Aleksandr Katrutsa, Ilgam Latypov +1

Bandit optimization usually refers to the class of online optimization problems with limited feedback, namely, a decision maker uses only the objective value at the current point t…

cs.LG2025

Optimizing Online Advertising with Multi-Armed Bandits: Mitigating the Cold Start Problem under Auction Dynamics

Anastasiia Soboleva, Andrey Pudovikov, Roman Snetkov +3

Online advertising platforms often face a common challenge: the cold start problem. Insufficient behavioral data (clicks) makes accurate click-through rate (CTR) forecasting of new…

cs.GT2025

Optimal Traffic Allocation for Multi-Slot Sponsored Search: Balance of Efficiency and Fairness

Anastasiia Soboleva, Alexander Ledovsky, Yuriy Dorn +3

The majority of online marketplaces offer promotion programs to sellers to acquire additional customers for their products. These programs typically allow sellers to allocate adver…