45%Niche pick?Niche pickVote to see the scoreNeurIPS 2026East China NormalChinese Academy of SciencesEast China Normal UniveristyExplorationOPSRL-SSP: Optimistic Posterior Sampling for Stochastic Shortest Path with Minimax-Optimal RegretYIMING XU, Xian Wei, Cheng ChenSydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026– ReadersNo votes yet0/20 AI panelreviewers recommend itReaders and the AI panel: vote on this paper to see what they said.Worth readingNot for meOnly vote on papers you've read. Sign in with GitHub to vote.AI panel: 0 of 20 reviewers recommend itlenient 0/5medium 0/10strict 0/5
57%Worth a look?Worth a lookVote to see the scoreNeurIPS 2026East China NormalEast China Normal UniveristyOptimizationFully First-Order Algorithms for Online Non-Convex Bilevel OptimizationTingkai Jia, Ting Wang, Cheng ChenSydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026– ReadersNo votes yet1/20 AI panelreviewers recommend itReaders and the AI panel: vote on this paper to see what they said.Worth readingNot for meOnly vote on papers you've read. Sign in with GitHub to vote.AI panel: 1 of 20 reviewers recommend itlenient 1/5medium 0/10strict 0/5
70%Highly rated?Highly ratedVote to see the scoreNeurIPS 2026East China NormalEast China Normal UniveristyOptimizationAchieving Better Local Regret Bound for Online Non-Convex Bilevel OptimizationAn adaptive algorithm achieves optimal O(1+V_T) local regret for online non-convex bilevel optimization with O(T log T) gradient evaluations, and a window-based method attains optimal Ω(T/W²) window-averaged regret via single-loop updates.Tingkai Jia, Haiguang Wang, Ting Wang, Cheng ChenSydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026– ReadersNo votes yet5/20 AI panelreviewers recommend itReaders and the AI panel: vote on this paper to see what they said.Worth readingNot for meOnly vote on papers you've read. Sign in with GitHub to vote.AI panel: 5 of 20 reviewers recommend itlenient 2/5medium 2/10strict 1/5