Today's online advertisers procure digital ad impressions through interacting with
autobidding platforms: advertisers convey high level procurement goals via setting levers …

In this survey, we summarize recent developments in research fueled by the growing
adoption of automated bidding strategies in online advertising. We explore the challenges …

We study the efficiency of non-truthful auctions for auto-bidders with both return on spend
(ROS) and budget constraints. The efficiency of a mechanism is measured by the price of …

In online advertising markets, budget-constrained advertisers acquire ad placements
through repeated bidding in auctions on various platforms. We present a strategy for bidding …

Abstract We consider a Multi-Armed Bandit problem with covering constraints, where the
primary goal is to ensure that each arm receives a minimum expected reward while …

Budget allocation across multiple advertising channels involves periodically dividing a fixed
total budget among various channels. Yet, the challenge of making sequential decisions to …

In recent years, the growing adoption of autobidding has motivated the study of auction
design with value-maximizing auto-bidders. It is known that under mild assumptions, uniform …

It has become the default in markets such as ad auctions for participants to bid in an auction
through automated bidding agents (autobidders) which adjust bids over time to satisfy return …

We study the problem of bidding in uniform price auctions widely used in practice. Although
these auctions are non-truthful for bidders with quasilinear utility functions, several empirical …

The recent increasing adoption of autobidding has inspired the growing interest in analyzing
the performance of classic mechanism with value-maximizing autobidders both theoretically …