The Price of Locality in Label Privacy: Optimal Rates for Classification and Regression

Zongrui Zou, Mina Dalirrooyfard, Jingcheng Liu, Jalaj Upadhyay

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

The Long-Run Distribution of Regularized Learning in Non-Concave Games: A Large Deviations Approach

Waïss Azizian, Pierre-Louis Cauvin, Franck Iutzeler, Jérôme Malick and 1 more

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

Sampling-Free Privacy Accounting for Matrix Mechanisms under Random Allocation

Developing sampling-free Rényi divergence and conditional composition bounds improves privacy amplification for matrix mechanisms under random allocation without Monte Carlo sampling.

Jan Schuchardt, Nikita Kalinin

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

ANCRe: Adaptive Neural Connection Reassignment for Efficient Depth Scaling

ANCRe learns residual connectivities from data to fix convergence gaps caused by fixed layouts, accelerating training of deep networks with under 1% overhead.

Yilang Zhang, Bingcong Li, Niao He, Georgios Giannakis

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

ModelLens: Finding the Best for Your Task from Myriads of Models

ModelLens learns a latent space over model-dataset-metric tuples from noisy leaderboard data to rank unseen models on unseen datasets without target evaluation, improving routing by up to 81%.

Rui Cai, Wenjie Mo, Xiaofei Wen, Qiyao Ma and 4 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 14 on Hugging Face · Code ★ 130