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Showing papers from Bilkent University Show all papers

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Robust Satisficing Ensemble: Scalable Model Aggregation Under Distribution Shifts

Ahmet Faruk Cetinkaya, Enes Ağırman, Cem Tekin

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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Don't Always Pick the Highest-Performing Model: An Information Theoretic View of LLM Ensemble Selection

Formulating ensemble selection as mutual-information maximization reveals an information-theoretic error floor from model correlation and yields a greedy algorithm that outperforms baselines under fixed query budgets.

Yigit Turkmen, Baturalp Buyukates, Melih Bastopcu

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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Monotone Inclusion Approach to Weakly Monotone Discrete-Time Finite-Horizon Mean-Field Games

For discrete-time finite-horizon mean-field games with state-independent transitions and weakly monotone rewards, anchored proximal gradient descent computes mean-field equilibria via monotone inclusions over occupation measures at an O(1/√T) rate without regularization or uniqueness.

Ugur Aydin, Tamer Basar, Naci Saldi

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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AI panel: 5 of 20 reviewers recommend it
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medium 2/10
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