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Xingdong Feng

5 papers · 2020–2024 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze

Venues

JMLR (2) NeurIPS (2) ICML (1)

Top co-authors

Caixing Wang (3) Fan Zhou (2) Lican Kang (2) Yuling Jiao (2) XIN HE (2) Jianing Wang (1) Baqun Zhang (1) Chao Wang (1) Jingnan Zhang (1)

Research topics

Machine Learning (5) Core Methods (5) Mathematics & Optimization (2) Application Areas (2) Optimization & Theory (2) Artificial Intelligence (1) Reinforcement Learning (1) Learning Paradigms (1) Mathematics (1) Methods (1) Optimization (1)

Keywords

quantile regression (3) kernel methods (2) covariate shift (2) nonparametric regression (1) fitted q-iteration (1) importance weighting (1) distribution shift (1) curse of dimensionality (1) learning rate (1) convergence rate (1) random feature (1) monotonicity constraint (1) heavy-tailed noise (1) overparameterized neural network (1) non-parametric method (1) dependent data (1) value distribution (1) error decomposition (1) neural network (1) deep nonparametric regression (1)

Papers

Deep Nonparametric Quantile Regression under Covariate Shift JMLR 2024 Optimal Kernel Quantile Learning with Random Features ICML 2024 Over-parameterized Deep Nonparametric Regression for Dependent Data with Its Applications to Reinforcement Learning JMLR 2023 Towards a Unified Analysis of Kernel-based Methods Under Covariate Shift NeurIPS 2023 Non-Crossing Quantile Regression for Distributional Reinforcement Learning NeurIPS 2020