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NeurIPS 2026AmazonIMPANanyang TechnologicalLearning theory

Mean Testing under Truncation beyond Gaussian

Under truncation hiding an ε-fraction of mass, mean testing faces a bias floor of order ν ε^{1−1/p}; above it a second-order test achieves near-optimal sample complexity, while median regularity restores classical √d testing rates.

Yuhao Wang, Roberto I Oliveira, Themis Gouleakis

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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9/20 AI panelreviewers recommend it

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lenient 1/5
medium 5/10
strict 3/5
78%Highly rated
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NeurIPS 2026FGV EMApIMPAFGV Emapgoogle.comOptimization

Functional Gradient Descent with Adaptive Representations

Functional gradient descent with adaptive representations converges to stationary points or global minimizers despite approximation errors and outperforms fixed approximations and neural network baselines.

Daniel Csillag, Rodrigo Schuller, Pedro Dall’Antonia, Leonidas Guibas and 2 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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11/20 AI panelreviewers recommend it

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AI panel: 11 of 20 reviewers recommend it
lenient 3/5
medium 6/10
strict 2/5