Multi-channel autobidding with budget and ROI constraints

Y Deng, N Golrezaei, P Jaillet… - International …, 2023 - proceedings.mlr.press
In digital online advertising, advertisers procure ad impressions simultaneously on multiple
platforms, or so-called channels, such as Google Ads, Meta Ads Manager, etc., each of …

Learning to bid in repeated first-price auctions with budgets

Q Wang, Z Yang, X Deng… - … Conference on Machine …, 2023 - proceedings.mlr.press
Budget management strategies in repeated auctions have received growing attention in
online advertising markets. However, previous work on budget management in online …

[PDF][PDF] Bidding and pricing in budget and roi constrained markets

N Golrezaei, P Jaillet, JCN Liang, V Mirrokni - arXiv preprint arXiv …, 2021 - mit.edu
In online advertising markets, setting budget and return on investment (ROI) constraints are
two prevalent ways to help advertisers (ie buyers) utilize limited monetary resources …

Optimal cross-learning for contextual bandits with unknown context distributions

J Schneider, J Zimmert - Advances in Neural Information …, 2024 - proceedings.neurips.cc
We consider the problem of designing contextual bandit algorithms in the``cross-
learning''setting of Balseiro et al., where the learner observes the loss for the action they play …

Optimal no-regret learning in repeated first-price auctions

Y Han, T Weissman, Z Zhou - Operations Research, 2024 - pubsonline.informs.org
We study online learning in repeated first-price auctions where a bidder, only observing the
winning bid at the end of each auction, learns to adaptively bid to maximize the cumulative …

[PDF][PDF] The role of transparency in repeated first-price auctions with unknown valuations

N Cesa-Bianchi, T Cesari, R Colomboni… - Proceedings of the 56th …, 2024 - dl.acm.org
We study the problem of regret minimization for a single bidder in a sequence of first-price
auctions where the bidder discovers the item's value only if the auction is won. Our main …

Learning to bid optimally and efficiently in adversarial first-price auctions

Y Han, Z Zhou, A Flores, E Ordentlich… - arXiv preprint arXiv …, 2020 - arxiv.org
First-price auctions have very recently swept the online advertising industry, replacing
second-price auctions as the predominant auction mechanism on many platforms. This shift …

Data-driven hospital admission control: A learning approach

M Zhalechian, E Keyvanshokooh, C Shi… - Operations …, 2023 - pubsonline.informs.org
The choice of care unit upon admission to the hospital is a challenging task because of the
wide variety of patient characteristics, uncertain needs of patients, and limited number of …

Learning product rankings robust to fake users

N Golrezaei, V Manshadi, J Schneider… - Proceedings of the 22nd …, 2021 - dl.acm.org
In many online platforms, customers' decisions are substantially influenced by product
rankings as most customers only examine a few top-ranked products. Concurrently, such …

Leveraging the hints: Adaptive bidding in repeated first-price auctions

W Zhang, Y Han, Z Zhou, A Flores… - Advances in Neural …, 2022 - proceedings.neurips.cc
With the advent and increasing consolidation of e-commerce, digital advertising has very
recently replaced traditional advertising as the main marketing force in the economy. In the …