1 code implementation • 7 Feb 2024 • Zitong Yang, Emmanuel Candès, Lihua Lei
We introduce Bellman Conformal Inference (BCI), a framework that wraps around any time series forecasting models and provides approximately calibrated prediction intervals.
1 code implementation • 11 Feb 2022 • Yaodong Yu, Zitong Yang, Alexander Wei, Yi Ma, Jacob Steinhardt
Projection Norm first uses model predictions to pseudo-label test samples and then trains a new model on the pseudo-labels.
1 code implementation • 17 Mar 2021 • Yaodong Yu, Zitong Yang, Edgar Dobriban, Jacob Steinhardt, Yi Ma
To investigate this gap, we decompose the test risk into its bias and variance components and study their behavior as a function of adversarial training perturbation radii ($\varepsilon$).
no code implementations • 8 Mar 2021 • Zitong Yang, Yu Bai, Song Mei
We show that, in the setting where the classical uniform convergence bound is vacuous (diverges to $\infty$), uniform convergence over the interpolators still gives a non-trivial bound of the test error of interpolating solutions.
1 code implementation • ICML 2020 • Zitong Yang, Yaodong Yu, Chong You, Jacob Steinhardt, Yi Ma
We provide a simple explanation for this by measuring the bias and variance of neural networks: while the bias is monotonically decreasing as in the classical theory, the variance is unimodal or bell-shaped: it increases then decreases with the width of the network.
1 code implementation • 17 Oct 2019 • Naibo Wang, Zhiling Luo, Xiya Lyu, Zitong Yang, Jianwei Yin
In this work, we construct a service wrapper system to convert available data in web pages into web services.
no code implementations • 6 Jun 2019 • Yuexiang Zhai, Zitong Yang, Zhenyu Liao, John Wright, Yi Ma
Most existing methods solve the dictionary (and sparse representations) based on heuristic algorithms, usually without theoretical guarantees for either optimality or complexity.