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Grigoris Velegkas

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Preprint Sep 2026

Efficiency of Generalized Proportional First-Price Auctions Under Auto-bidding

Auto-bidding is now widely adopted in online advertising platforms, allowing advertisers to specify high-level campaign objectives--such as maximizing total value subject to a return-on-spend (ROS) constraint--rather than manual per-query bids. A central question in algorithmic mechanism design is characterizing the wo...

Yang Cai, Vineet Gupta, Yan-Chen Jiang et al. · 1 citation
#artificial intelligence Preprint Sep 2026

Cogentic: Multi-Agent Orchestration for Automated Proof Discovery

We present Cogentic, a multi-agent harness for automated proof discovery on open research problems. While frontier language models can generate strong mathematical ideas in a single shot, single-shot generation is often insufficient for open problems that require exploring multiple competing conjectures, overcoming sub...

Yang Cai, Vineet Gupta, Yan-Chen Jiang et al. · 0 citations
#machine learning Preprint Sep 2026

Efficient Online Inverse Optimization with $O(d)$ Regret

This work builds on the variable-metric framework of Sakaue et al., adding a self-normalized rank-one update, and replaces the $\log\det$ potential by the trace power $\tr(H^{-1/2})$, which is bounded outright and removes the $\ln T$.

Yang Cai, Anupam Gupta, Vineet Gupta et al. · 3 citations · ⚡1
Jul 2026

Learning Distributions from Multiple Data Providers

H hierarchical comparability is identified as a sufficient structural condition on $\mathscr S$ under which the optimal complexity is nearly linear, $\widetilde \Theta(n/\epsilon^2)$, with pairwise query families as a canonical example.

Jon M. Kleinberg, Amin Saberi, Xi-Zhi Tan et al. · 1 citation · ⚡1

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