Yuting Wei
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2024
High-Probability Sample Complexities for Policy Evaluation With Linear Function Approximation.
IEEE Trans. Inf. Theory, August, 2024
Neural Networks, 2024
J. Mach. Learn. Res., 2024
Enhancing multimodal depression detection with intra- and inter-sample contrastive learning.
Inf. Sci., 2024
Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model.
Oper. Res., 2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
A non-asymptotic distributional theory of approximate message passing for sparse and robust regression.
CoRR, 2024
Theoretical insights for diffusion guidance: A case study for Gaussian mixture models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
Applying Probabilistic Model Checking to Path Planning for a Smart Multimodal Transportation System Using IoT Sensor Data.
Mob. Networks Appl., February, 2023
Math. Program., 2023
CoRR, 2023
CoRR, 2023
Sharp high-probability sample complexities for policy evaluation with linear function approximation.
CoRR, 2023
Approximate message passing from random initialization with applications to ℤ<sub>2</sub> synchronization.
CoRR, 2023
The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Query-aware Long Video Localization and Relation Discrimination for Deep Video Understanding.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Verbalizer or Classifier? A New Prompt Learning Model for Event Causality Identification.
Proceedings of the International Joint Conference on Neural Networks, 2023
PCENet: Psychological Clues Exploration Network for Multimodal Personality Assessment.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
2022
Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction.
IEEE Trans. Inf. Theory, 2022
Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization.
Oper. Res., 2022
CoRR, 2022
CoRR, 2022
CoRR, 2022
CoRR, 2022
A Deep Learning Approach Based on Continuous Wavelet Transform Towards Fall Detection.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Data Mining and Big Data - 7th International Conference, 2022
2021
Tackling Small Eigen-Gaps: Fine-Grained Eigenvector Estimation and Inference Under Heteroscedastic Noise.
IEEE Trans. Inf. Theory, 2021
Bias-corrected Kullback-Leibler distance criterion based model selection with covariables missing at random.
Comput. Stat. Data Anal., 2021
CoRR, 2021
Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the Conference on Learning Theory, 2021
Uniform Consistency of Cross-Validation Estimators for High-Dimensional Ridge Regression.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
The Local Geometry of Testing in Ellipses: Tight Control via Localized Kolmogorov Widths.
IEEE Trans. Inf. Theory, 2020
CoRR, 2020
CoRR, 2020
Inference for linear forms of eigenvectors under minimal eigenvalue separation: Asymmetry and heteroscedasticity.
CoRR, 2020
Randomized tests for high-dimensional regression: A more efficient and powerful solution.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
GeLaiGeLai: A visual platform for analysis of Classical Chinese Poetry based on Knowledge Graph.
Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020
2019
Early Stopping for Kernel Boosting Algorithms: A General Analysis With Localized Complexities.
IEEE Trans. Inf. Theory, 2019
2018
2017
The local geometry of testing in ellipses: Tight control via localized Kolomogorov widths.
CoRR, 2017
The geometry of hypothesis testing over convex cones: Generalized likelihood tests and minimax radii.
CoRR, 2017
2016
Proceedings of the IEEE International Symposium on Information Theory, 2016
2015
计算机科学, 2015
2014
Examining the Impacts of Website Complexities on User Satisfaction Based on the Task-Technology Fit Model: an Experimental Research using an Eyetracking Device.
Proceedings of the 18th Pacific Asia Conference on Information Systems, 2014