:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Li, Jiayun, Cheng, Yuxiao, Lu, Yiwen, Xia, Zhuofan, Mo, Yilin, Huang, Gao
Format:	Preprint
Publié:	2023
Sujets:	Machine Learning
Accès en ligne:	https://arxiv.org/abs/2309.17194
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Almost Surely $\sqrt{T}$ Regret for Adaptive LQR
par: Lu, Yiwen, et autres
Publié: (2023)

Regret Analysis with Almost Sure Convergence for OBF-ARX Filter
par: Li, Jiayun, et autres
Publié: (2024)

MPC-Inspired Reinforcement Learning for Verifiable Model-Free Control
par: Lu, Yiwen, et autres
Publié: (2023)

Identification with Orthogonal Basis Functions: Convergence Speed, Asymptotic Bias, and Rate-Optimal Pole Selection
par: Li, Jiayun, et autres
Publié: (2025)

Conditional Generative Modeling of Stochastic LTI Systems: A Behavioral Approach
par: Li, Jiayun, et autres
Publié: (2025)

Learning to Drift with Individual Wheel Drive: Maneuvering Autonomous Vehicle at the Handling Limits
par: Zhou, Yihan, et autres
Publié: (2025)

Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation
par: Zhang, Wanpeng, et autres
Publié: (2023)

Benign Overfitting in Out-of-Distribution Generalization of Linear Models
par: Tang, Shange, et autres
Publié: (2024)

An Exploration-free Method for a Linear Stochastic Bandit Driven by a Linear Gaussian Dynamical System
par: Gornet, Jonathan, et autres
Publié: (2025)

Context-Alignment: Activating and Enhancing LLM Capabilities in Time Series
par: Hu, Yuxiao, et autres
Publié: (2025)

CSformer: Combining Channel Independence and Mixing for Robust Multivariate Time Series Forecasting
par: Wang, Haoxin, et autres
Publié: (2023)

Ethnography and Machine Learning: Synergies and New Directions
par: Li, Zhuofan, et autres
Publié: (2024)

MMFNet: Multi-Scale Frequency Masking Neural Network for Multivariate Time Series Forecasting
par: Ma, Aitian, et autres
Publié: (2024)

Fast-Slow Thinking RM: Efficient Integration of Scalar and Generative Reward Models
par: Wu, Jiayun, et autres
Publié: (2026)

A Survey on Evaluation of Out-of-Distribution Generalization
par: Yu, Han, et autres
Publié: (2024)

SpecBound: Adaptive Bounded Self-Speculation with Layer-wise Confidence Calibration
par: Wen, Zhuofan, et autres
Publié: (2026)

MixLinear: Extreme Low Resource Multivariate Time Series Forecasting with 0.1K Parameters
par: Ma, Aitian, et autres
Publié: (2024)

Analysis of Variational Sparse Autoencoders
par: Baker, Zachary, et autres
Publié: (2025)

Mitigating LLM Hallucination via Behaviorally Calibrated Reinforcement Learning
par: Wu, Jiayun, et autres
Publié: (2025)

CICADA: Cross-Domain Interpretable Coding for Anomaly Detection and Adaptation in Multivariate Time Series
par: Lan, Tian, et autres
Publié: (2025)

Memex(RL): Scaling Long-Horizon LLM Agents via Indexed Experience Memory
par: Wang, Zhenting, et autres
Publié: (2026)

Self-Supervised Learning via Flow-Guided Neural Operator on Time-Series Data
par: Nguyen, Duy, et autres
Publié: (2026)

Momentum Streams for Optimizer-Inspired Transformers
par: Gai, Jingchu, et autres
Publié: (2026)

Label Learning Method Based on Tensor Projection
par: Li, Jing, et autres
Publié: (2024)

Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift
par: Wu, Jiayun, et autres
Publié: (2024)

Constrained Gaussian Process Motion Planning via Stein Variational Newton Inference
par: Li, Jiayun, et autres
Publié: (2025)

Moon: A Modality Conversion-based Efficient Multivariate Time Series Anomaly Detection
par: Yao, Yuanyuan, et autres
Publié: (2025)

Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning
par: Lu, Yuxiao, et autres
Publié: (2023)

GENSR: Symbolic Regression Based in Equation Generative Space
par: Li, Qian, et autres
Publié: (2026)

Towards Better Generalization via Distributional Input Projection Network
par: Hao, Yifan, et autres
Publié: (2025)

A Generalized Similarity U Test for Multivariate Analysis of Sequencing Data
par: Wei, Changshuai, et autres
Publié: (2015)

CT-PatchTST: Channel-Time Patch Time-Series Transformer for Long-Term Renewable Energy Forecasting
par: Lu, Kuan, et autres
Publié: (2025)

Kandinsky Conformal Prediction: Beyond Class- and Covariate-Conditional Coverage
par: Bairaktari, Konstantina, et autres
Publié: (2025)

SynTSBench: Rethinking Temporal Pattern Learning in Deep Learning Models for Time Series
par: Tan, Qitai, et autres
Publié: (2025)

Specialising and Analysing Instruction-Tuned and Byte-Level Language Models for Organic Reaction Prediction
par: Pang, Jiayun, et autres
Publié: (2024)

Finite Sample Performance Analysis of MIMO Systems Identification
par: Sun, Shuai, et autres
Publié: (2023)

Adversarial Combinatorial Semi-bandits with Graph Feedback
par: Wen, Yuxiao
Publié: (2025)

GPDFlow: Generative Multivariate Threshold Exceedance Modeling via Normalizing Flows
par: Hu, Chenglei, et autres
Publié: (2025)

Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation
par: Liu, Chenxi, et autres
Publié: (2025)

Probabilistic Reduced-Dimensional Vector Autoregressive Modeling with Oblique Projections
par: Mo, Yanfang, et autres
Publié: (2024)