Bernie Wang

Principal Researcher@Amazon·美国·OpenReview

研究方向

Time Series Forecasting · Random Matrix Theory · Free Probability Theory · Symmetric Functions · Online Learning Algorithms · Learning to Rank · Statistical Learning Theory · Empirical Processes · U-Statistics and U-Processes · Gaussian Processes · Bayesian Learning · Probabilistic Graphical Models

Bernie Wang

End-to-End Probabilistic Framework for Learning with Hard Constraints

Understanding Transformers for Time Series: Rank Structure, Flow-of-ranks, and Compressibility

Understanding the Implicit Biases of Design Choices for Time Series Foundation Models

Test-Time Efficient Pretrained Model Portfolios for Time Series Forecasting

When Does Multimodality Lead to Better Time Series Forecasting?

Mitra: Mixed Synthetic Priors for Enhancing Tabular Foundation Models

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation

Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization

Effectively Steer LLM To Follow Preference via Building Confident Directions

Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization

Gradient-Free Generation for Hard-Constrained Systems

Comparing and Contrasting Deep Learning Weather Prediction Backbones on Navier-Stokes and Atmospheric Dynamics

Forecasting Needles in a Time Series Haystack