康利灿
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Personal Information
Supervisor of Master's Candidates
Supervisor of Doctorate Candidates
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Date of Birth:
1992-12-16 -
E-Mail:
bb096e6437e6bddaa98a00298ab50a844d6d1255aff8c57d5a16d93d8dd903afec8ae1653525468ede17850c42293ddb55dfe097ecafaadf7cdc941d4a809ee2a04e59d625f7d08f230a847915b24060ce9d8295dba09c73814ee29cce254daf6f8385e6a19318c2f19ffca5411d50630c40222dbbc391b545dc67a1877c63d4 -
School/Department:
武汉数学与智能研究院 -
Education Level:
With Certificate of Graduation for Doctorate Study -
Status:
Employed -
Alma Mater:
武汉大学
Other Contact Information
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PostalAddress:
7c8e1c02730dee687cf7e35c9c1159bbec4f35820424aad551ce3319b4a9e35faa1743f8f9f6c29d34467ffda14d5a42bf768ae48804bb9a180f9af7a4cec873f2cdc104fb1d9e06f589a5c967858de535660ee0870f1a09b1fe3e75e2c80e2dd8f8b7e4a7611f46c06f99616450c5a88f13a6a853db51268b03d5fe1789d704 -
Email:
bb096e6437e6bddaa98a00298ab50a844d6d1255aff8c57d5a16d93d8dd903afec8ae1653525468ede17850c42293ddb55dfe097ecafaadf7cdc941d4a809ee2a04e59d625f7d08f230a847915b24060ce9d8295dba09c73814ee29cce254daf6f8385e6a19318c2f19ffca5411d50630c40222dbbc391b545dc67a1877c63d4
Paper Publications
Current position: Home > Scientific Research > Paper Publications
- [1]. Global optimization via Schrodinger-Follmer diffusion. SIAM Journal on Control and Optimization. 61(5), 2953-2980, 2023.
- [2]. Over-parameterized Deep Nonparametric Regression for Dependent Data with Its Applications to Reinforcement Learning. Journal of Machine Learning Research. 24(383), 1-40, 2023.
- [3]. Fast Excess Risk Rate via Offset Rademacher Complexity. International Conference on Machine Learning. 8697--8716, 2023.
- [4]. Newton-Raphson meets sparsity: Sparse learning via a novel penalty and a fast solver. IEEE Transactions on Neural Networks and Learning Systems. 35(9), 12057-12067, 2024.
- [5]. Deep Nonparametric Quantile Regression under Covariate Shift. Journal of Machine Learning Research. 385, 1-50, 2024.
- [6]. Multivariate stochastic modeling for transcriptional dynamics with cell-specific latent time using SDEvelo. Nature Communications. 15(1), 1-16, 2024.
- [7]. Approximate Policy Iteration with Deep Minimax Average Bellman Error Minimization. IEEE Transactions on Neural Networks and Learning Systems. 36(2), 2288-2299, 2025.
- [8]. Deep Contrastive Representation Learning for Supervised Tasks. Pattern Recognition. 161, 111309, 2025.
- [9]. Schrodinger-Follmer Sampler. IEEE Transactions on Information Theory. 71(2), 1283-1299, 2025.
- [10]. Deep Approximate Policy Iteration. Annals of Statistics. 53(2), 802-821, 2025.
- [11]. Model-free Prediction with Uncertainty Assessment. IEEE Transactions on Information Theory. 71(9), 7229-7253, 2025.
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