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Luo Luo
17 papers at tracked venues · 14 at CORE A* · active 2024–2026
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AAAI
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NeurIPS
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ICML
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COLT
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AISTATS
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Frequent coauthors
Lesi Chen
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Zhuanghua Liu
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Hongxu Chen
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Jing Xue
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Kunjie Ren
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Binbin Huang
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Chengchang Liu
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Yuxing Liu
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Zhenwei Lin
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Qihao Zhou
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Yunyan Bai
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Shihong Ding
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Papers
Decentralized Non-convex Stochastic Optimization with Heterogeneous Variance
AAAI 2026
·
Hongxu Chen
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Faster Newton Methods for Convex and Nonconvex Optimization in Gradient Complexity
COLT 2026
·
Lesi Chen
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Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack
AAAI 2026
·
Jing Xue
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A Near-Optimal Algorithm for Decentralized Convex-Concave Finite-Sum Minimax Optimization
NeurIPS 2025
·
Hongxu Chen
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A Parameter-Free and Near-Optimal Zeroth-Order Algorithm for Stochastic Convex Optimization
ICML 2025
·
Kunjie Ren
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Accelerated Evolving Set Processes for Local PageRank Computation
NeurIPS 2025
·
Binbin Huang
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An Enhanced Levenberg-Marquardt Method via Gram Reduction
AAAI 2025
·
Chengchang Liu
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Solving Convex-Concave Problems with 풪(ε-4/7) Second-Order Oracle Complexity
COLT 2025
·
Lesi Chen
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An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization
AISTATS 2024
·
Lesi Chen
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Decentralized Convex Finite-Sum Optimization with Better Dependence on Condition Numbers
ICML 2024
·
Yuxing Liu
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Decentralized Gradient-Free Methods for Stochastic Non-smooth Non-convex Optimization
AAAI 2024
·
Zhenwei Lin
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Gradient-Free Methods for Nonconvex Nonsmooth Stochastic Compositional Optimization
NeurIPS 2024
·
Zhuanghua Liu
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Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates
AAAI 2024
·
Zhuanghua Liu
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Near-Optimal Distributed Minimax Optimization under the Second-Order Similarity
NeurIPS 2024
·
Qihao Zhou
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On the Complexity of Finite-Sum Smooth Optimization under the Polyak-Łojasiewicz Condition
ICML 2024
·
Yunyan Bai
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Optimizing over Multiple Distributions under Generalized Quasar-Convexity Condition
NeurIPS 2024
·
Shihong Ding
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Zeroth-Order Methods for Constrained Nonconvex Nonsmooth Stochastic Optimization
ICML 2024
·
Zhuanghua Liu
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