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Showing papers from Nanjing University (NJU) Show all papers

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Group Distributionally Robust Optimization with Flexible Sample Queries

A GDRO algorithm via flexible sample queries and a prediction-with-limited-advice game achieves high-probability error O(√(∑ m/r_j)/t) with consistent sample complexity O(m log m/ε²).

Haomin Bai, Dingzhi Yu, Shuai Li, Haipeng Luo and 1 more

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

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AI panel: 6 of 20 reviewers recommend it
lenient 1/5
medium 4/10
strict 1/5
76%Highly rated
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Distributed Online Convex Optimization with Compressed Communication: Optimal Regret and Applications

Compressed distributed online convex optimization achieves optimal regret via error feedback and online compression, with applications to distributed non-smooth optimization.

Sifan Yang, Danyue Li, Lijun Zhang

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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10/20 AI panelreviewers recommend it

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