PhD Student, Institute of Science and Technology Austria (ISTA)
Am Campus 1, 3400 Klosterneuburg, Austria · rluo@ist.ac.at
I moved to Austria for my PhD study.
My advisor is Prof. Krishnendu Chatterjee.
Previously, I completed my undergraduate work at Zhejiang University in 2022.
News
In the summer of 2026, I will be working at Microsoft Research Cambridge as a Research Intern in Machine Learning.
Research
My research focuses on the intersection of optimization, games, and machine learning. Specifically, I have been working on:
1. Sequential decision-making complexity and algorithms
Linear Equations with Min and Max Operators: Computational Complexity
with Krishnendu Chatterjee, Raimundo Saona, Jakub Svoboda
Algorithms for Linear Equations with Min and Max Operators under (Absolutely) Halting Condition
with Krishnendu Chatterjee, Raimundo Saona, Jakub Svoboda
Improved Algorithmic Analysis for Stochastic Games
with Krishnendu Chatterjee, Raimundo Saona, Jakub Svoboda
Algorithms with Smoothed Polynomial-Time Complexity for Deterministic Discounted-sum and Mean-payoff Games
with Ali Asadi, Krishnendu Chatterjee
2. Multiplayer games efficient protocols
Monotone Near-Zero-Sum Games
with Sebastian U Stich, Krishnendu Chatterjee
Efficient Gradient Methods for Distributed Saddle Problems
with Anton Rodomanov, Sebastian Stich
3. Distributed consensus optimization communication-efficient algorithms
Revisiting LocalSGD and SCAFFOLD: Improved Rates and Missing Analysis
with Sebastian U Stich, Samuel Horvath, Martin Takac
On the Convergence of Local SGD under Third-Order Smoothness and Hessian Similarity
with Ali Zindari, Sebastian U Stich