Larkin Liu

2025

Online Mixture of Experts: No-Regret Learning for Optimal Collective Decision-Making
Larkin Liu, Jalal Etesami
39th Conference on Neural Information Processing Systems (NeuRIPS 2025)
arXiv
Riemannian Manifold Learning for Stackelberg Games with Neural Flow Representations
Larkin Liu, Kashif Rasul, Yutong Chao, Jalal Etesami
Preprint (2025)
arXiv
Improved Monte Carlo Planning via Causal Disentanglement for Structurally-Decomposed Markov Decision Processes
Larkin Liu, Shiqi Liu, Yinruo Hua, Matej Jusup
International Conference on Distributed Artificial Intelligence (DAI 2025)
arXiv

2024

No-Regret Learning for Stackelberg Equilibrium Computation in Newsvendor Pricing Games
Larkin Liu, Yuming Rong
Conference on Algorithmic Decision Theory (ADT 2024)
arXiv Springer
Optimizing Stochastic Control through State Transition Separability and Resource-Utility Exchange
Larkin Liu, Matej Jusup, Shiqi Liu
ACM SIGMETRICS Performance Evaluation Review (2024)
ACM
Dual-Sourcing via Dynamic Programming with Monte Carlo Value Approximation
Larkin Liu
28th International Conference on System Theory, Control and Computing (ICSTCC 2024)
IEEE
Approximate Nash Equilibrium Learning for n-Player Markov Games in Dynamic Pricing
Larkin Liu
EPIA Conference on Artificial Intelligence, 360-371 (EPIA 2024) (Best Paper Award)
arXiv Springer

2021

An Extensible and Modular Design and Implementation of Monte Carlo Tree Search for the JVM
Larkin Liu, Jun Tao Luo
arXiv Preprint (2021)
arXiv

2020

Algorithm for Two-Phase Facility Planning via Balanced Clustering and Integer Programming
Larkin Liu
arXiv Preprint (2020)
arXiv

2019

Multi-Armed Bandit Strategies for Non-Stationary Reward Distributions and Delayed Feedback Processes
Larkin Liu, Richard Downe, Joshua Reid
Canadian Operations Research Society Annual Conference (2019)
PDF arXiv
Improving the Performance of the LSTM and HMM Model via Hybridization
Larkin Liu, Yu-Chung Lin, Joshua Reid
arXiv Preprint (2019)
arXiv

2017

Comparative Study between Statistical Fraud Detection Methods on eCommerce Networks
Larkin Liu
Master of Applied Science Thesis - University of Toronto (2017)
PDF TSpace Link

2015

Using Selective Polynomial Regression for Autonomous Driving
Larkin Liu
Technical Report Excerpt for Undergraduate Course: Microprocessors and Microcontrollers (2015)
PDF

2012

Summary of Research Activities conducted during the 2012 Summer Semester
Larkin Liu, Viliam Makis
Quality, Reliability and Maintenance Laboratory, University of Toronto (2012)
PDF

2011

Automated Measurement of Contact Angles for Sessile Droplets using MATLAB Image analysis Library
Larkin Liu
Thermodynamics and Kinetics Laboratory, Department of Mechanical and Industrial Engineering. University of Toronto (2011)
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