We settle the worst-case approximability of residual-surplus maximization in general multidimensional mechanism-design environments. For $n$ agents with arbitrary nonnegative valuations over a finite outcome space, we give a universally truthful and ex-post individually rational mechanism whose expected residual surplus is at least $W(N)/H_n$, where $W(N)$ is the optimal social welfare and $H_n$ is the $n$-th harmonic number. This guarantee is worst-case optimal, including its constant, even for a single-item auction with a known i.i.d. prior and under the weaker requirement of Bayesian incentive compatibility. Our result resolves the welfare-approximation aspect of the open question of [Hartline and Roughgarden 2008] on the power of money burning beyond $k$-unit auctions, as well as an open question of [Ezra et al. 2025] concerning optimal guarantees for broader valuation classes. It also replaces the outcome-dependent $O(\log|\mathcal{O}|)$ guarantee of [Fotakis et al. 2015] by the tight agent-dependent factor $H_n$, while strengthening truthfulness in expectation to universal truthfulness. The mechanism is polynomial-time whenever welfare-maximizing VCG is polynomial-time, yielding efficient mechanisms for gross-substitutes and multi-unit valuations and for several natural single-parameter feasibility constraints.
How much social welfare must a market lose because values are private? We determine the sharp ratio of second-best to first-best welfare under independent nonnegative types, Bayesian incentive compatibility, interim individual rationality, and no expected budget deficit. The ratio is approximately $0.8882516903$ for ar...
This work studies mechanisms that maximize consumer utility for multiple unit-demand buyers and heterogeneous items whose values are drawn independently from known prior distributions and establishes a utility counterpart to the theory of simple, approximately revenue-optimal mechanisms.
Kira Goldner, Taylor Lundy, Thodoris Tsilivis· 0 citations
We study the minimum monetary subsidy required for exact envy-freeness in allocating $m_n$ indivisible goods to $n$ agents. Valuations are additive, item values are i.i.d. from a distribution on $[0,1]$ with density bounded above and away from zero, and all agents value money equally. We consider $n\to\infty$ with $m_n...
We study how well simple mechanisms approximate gains from trade (GFT) in two-sided matching markets with independent buyer values and seller costs, where feasible outcomes form an arbitrary downward-closed family of matchings. This model includes bilateral trade and double auctions as special cases. We focus on the Ge...
We study the truthful and fair allocation of indivisible goods to $n$ strategic agents with additive valuations. Babaioff, Feige, and Manaker Morag [FOCS 2026] gave a randomized mechanism that uses only the agents'rankings of the goods, is truthful in expectation (TIE), and guarantees every agent $1/(H_{n-1}+2)=\Theta(...
We study randomized algorithms for the fully online allocation of indivisible goods among $n\ge2$ agents with nonnegative additive valuations. Goods arrive sequentially and must be allocated immediately and irrevocably, with only $n$ known in advance. Since exact ex-ante envy freeness and proportionality are readily ac...
Tian-Qi Chen, Jing-Xiao Long· 2 citations
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