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Efficiency of Non-Truthful Auctions in Auto-bidding with Budget Constraints

Christopher Liaw, Aranyak Mehta, Wennan Zhu

TL;DR

This work analyzes the efficiency of non-truthful auctions for value-maximizing auto-bidders under both return-on-spend (ROS) and budget constraints, focusing on liquid welfare and price of anarchy (PoA). It establishes that deterministic first-price auctions (FPA) attain a tight PoA of $n$, while introducing a mild value-budget bound $v_{i,j}\le B_i$ that reduces the PoA to $2$, matching the ROS-only case; it further shows randomized mechanisms (randomized FPA and quasi-proportional FPA) achieve constant PoA values, notably PoA $1.8$ for two bidders in rFPA and PoA $2$ for quasi-proportional FPA for any number of bidders. The paper also analyzes uniform bidding, revealing that deterministic PoA degrades to $n$ under budgets, whereas randomized mechanisms can still maintain favorable efficiency (e.g., PoA near $1.5$–$1.8$ under certain settings). Overall, the results extend prior ROS-focused analyses to budget-constrained auto-bidding, offering tight bounds and insights on how randomness and bidding regularity impact efficiency in single-shot auctions.

Abstract

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 anarchy (PoA), which is the worst case ratio between the liquid welfare of any equilibrium and the optimal (possibly randomized) allocation. Our first main result is that the first-price auction (FPA) is optimal, among deterministic mechanisms, in this setting. Without any assumptions, the PoA of FPA is $n$ which we prove is tight for any deterministic mechanism. However, under a mild assumption that a bidder's value for any query does not exceed their total budget, we show that the PoA is at most $2$. This bound is also tight as it matches the optimal PoA without a budget constraint. We next analyze two randomized mechanisms: randomized FPA (rFPA) and "quasi-proportional" FPA. We prove two results that highlight the efficacy of randomization in this setting. First, we show that the PoA of rFPA for two bidders is at most $1.8$ without requiring any assumptions. This extends prior work which focused only on an ROS constraint. Second, we show that quasi-proportional FPA has a PoA of $2$ for any number of bidders, without any assumptions. Both of these bypass lower bounds in the deterministic setting. Finally, we study the setting where bidders are assumed to bid uniformly. We show that uniform bidding can be detrimental for efficiency in deterministic mechanisms while being beneficial for randomized mechanisms, which is in stark contrast with the settings without budget constraints.

Efficiency of Non-Truthful Auctions in Auto-bidding with Budget Constraints

TL;DR

This work analyzes the efficiency of non-truthful auctions for value-maximizing auto-bidders under both return-on-spend (ROS) and budget constraints, focusing on liquid welfare and price of anarchy (PoA). It establishes that deterministic first-price auctions (FPA) attain a tight PoA of , while introducing a mild value-budget bound that reduces the PoA to , matching the ROS-only case; it further shows randomized mechanisms (randomized FPA and quasi-proportional FPA) achieve constant PoA values, notably PoA for two bidders in rFPA and PoA for quasi-proportional FPA for any number of bidders. The paper also analyzes uniform bidding, revealing that deterministic PoA degrades to under budgets, whereas randomized mechanisms can still maintain favorable efficiency (e.g., PoA near under certain settings). Overall, the results extend prior ROS-focused analyses to budget-constrained auto-bidding, offering tight bounds and insights on how randomness and bidding regularity impact efficiency in single-shot auctions.

Abstract

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 anarchy (PoA), which is the worst case ratio between the liquid welfare of any equilibrium and the optimal (possibly randomized) allocation. Our first main result is that the first-price auction (FPA) is optimal, among deterministic mechanisms, in this setting. Without any assumptions, the PoA of FPA is which we prove is tight for any deterministic mechanism. However, under a mild assumption that a bidder's value for any query does not exceed their total budget, we show that the PoA is at most . This bound is also tight as it matches the optimal PoA without a budget constraint. We next analyze two randomized mechanisms: randomized FPA (rFPA) and "quasi-proportional" FPA. We prove two results that highlight the efficacy of randomization in this setting. First, we show that the PoA of rFPA for two bidders is at most without requiring any assumptions. This extends prior work which focused only on an ROS constraint. Second, we show that quasi-proportional FPA has a PoA of for any number of bidders, without any assumptions. Both of these bypass lower bounds in the deterministic setting. Finally, we study the setting where bidders are assumed to bid uniformly. We show that uniform bidding can be detrimental for efficiency in deterministic mechanisms while being beneficial for randomized mechanisms, which is in stark contrast with the settings without budget constraints.
Paper Structure (9 sections, 10 theorems, 22 equations, 3 tables)

This paper contains 9 sections, 10 theorems, 22 equations, 3 tables.

Key Result

theorem thmcountertheorem

In auto-bidding with both ROS and budget constraints, there exists an instance with $n$ bidders that ${\normalfont\textsc{I}}\hbox{-}{\normalfont\textsc{Opt}} \le \frac{1}{n} {\normalfont\textsc{Opt}}$.

Theorems & Definitions (18)

  • theorem thmcountertheorem
  • proof
  • corollary thmcountercorollary
  • theorem thmcountertheorem
  • proof
  • lemma thmcounterlemma
  • proof
  • lemma thmcounterlemma
  • proof
  • theorem thmcountertheorem
  • ...and 8 more