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Showing papers from Nagoya University Show all papers

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Quantum Composite Hypothesis Testing with Small Error

Chenghua Liu, Qisheng Wang

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

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
74%Highly rated
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Post-ADC Inference: Valid Inference After Active Data Collection

Post-ADC inference provides valid p-values and confidence intervals for data-dependent targets after active data collection by correcting adaptive sampling and selection biases without assuming the black-box function form.

Shuichi Nishino, Tomohiro Shiraishi, Teruyuki Katsuoka, Ichiro Takeuchi

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

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9/20 AI panelreviewers recommend it

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AI panel: 9 of 20 reviewers recommend it
lenient 4/5
medium 5/10
strict 0/5
76%Highly rated
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CITE: Anytime Valid Statistical Inference in LLM Self-Consistency

CITE provides anytime-valid certification of a target answer as the unique mode under arbitrary data-dependent stopping without knowing the answer set, with optimal stopping-time rates and improved LLM self-consistency.

Hirofumi Ota, Naoto Iwase, Yuki Ichihara, Junpei Komiyama and 1 more

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

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AI panel: 10 of 20 reviewers recommend it
lenient 4/5
medium 5/10
strict 1/5
70%Highly rated
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Improved Regret Analysis For Parallel Gaussian Process Bandit Optimization

Parallel GP-BTS achieves batch-size-independent regret without initial uncertainty sampling, with stronger noiseless bounds than noisy.

Shion Takeno, Shogo Iwazaki

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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5/20 AI panelreviewers recommend it

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AI panel: 5 of 20 reviewers recommend it
lenient 1/5
medium 3/10
strict 1/5