69 citations · 98 across the 6 of their papers we have counts for
7 papers
Entropic characterization of optimal rates for learning Gaussian mixtures
Zeyu Jia, Yury Polyanskiy, Yihong Wu
We consider the question of estimating multi-dimensional Gaussian mixtures (GM) with compactly supported or subgaussian mixing distributions. Minimax estimation rate for this class…
Linear Reinforcement Learning with Ball Structure Action Space
Zeyu Jia, Randy Jia, Dhruv Madeka +1
We study the problem of Reinforcement Learning (RL) with linear function approximation, i.e. assuming the optimal action-value function is linear in a known -dimensional feature…
Rate of convergence of the smoothed empirical Wasserstein distance
Adam Block, Zeyu Jia, Yury Polyanskiy +1
Consider an empirical measure induced by iid samples from a -dimensional -subgaussian distribution and let be the isotropic…
Intrinsic Dimension Estimation Using Wasserstein Distances
Adam Block, Zeyu Jia, Yury Polyanskiy +1
It has long been thought that high-dimensional data encountered in many practical machine learning tasks have low-dimensional structure, i.e., the manifold hypothesis holds. A natu…
Model-Based Reinforcement Learning with Value-Targeted Regression
Alex Ayoub, Zeyu Jia, Csaba Szepesvari +2
This paper studies model-based reinforcement learning (RL) for regret minimization. We focus on finite-horizon episodic RL where the transition model belongs to a known family…
Feature-Based Q-Learning for Two-Player Stochastic Games
Zeyu Jia, Lin F. Yang, Mengdi Wang
Consider a two-player zero-sum stochastic game where the transition function can be embedded in a given feature space. We propose a two-player Q-learning algorithm for approximatin…
The Search direction Correction makes first-order methods faster
Yifei Wang, Zeyu Jia, Zaiwen Wen
The so-called fast inertial relaxation engine is a first-order method for unconstrained smooth optimization problems. It updates the search direction by a linear combination of the…