Shiau Hong Lim
12 papers · 2012–2022 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (28) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π±
Topic Pioneer
π§
Keyword Pioneer
π
Keyword Champion
(2)
π
Trend Setter
π
Renaissance Researcher
(5)
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(52)
Top co-authors
Research topics
Machine Learning
(12)
Mathematics & Optimization
(6)
Core Methods
(6)
Optimization & Theory
(6)
Artificial Intelligence
(5)
Reinforcement Learning
(5)
Methods
(5)
Optimization
(5)
Core AI
(4)
Learning Types
(4)
Mathematics
(3)
Data Science & Analytics
(2)
Application Areas
(2)
Applications
(2)
Computer Science
(1)
Keywords
graph clustering
(5)
convex optimization
(3)
stochastic block model
(3)
reinforcement learning
(3)
maximum likelihood
(2)
time-varying graph
(2)
robust markov decision process
(2)
markov decision process
(2)
conditional value at risk
(2)
markov decision processes
(1)
community detection
(1)
document retrieval
(1)
robust reinforcement learning
(1)
distributional reinforcement learning
(1)
uncertainty modeling
(1)
optimal transport
(1)
maximum likelihood estimation
(1)
function approximation
(1)
adversarial robustness
(1)
resource allocation
(1)
Papers
Distributional Reinforcement Learning for Risk-Sensitive Policies
NeurIPS 2022
Neural-progressive hedging: Enforcing constraints in reinforcement learning with stochastic programming
UAI 2022
Order Constraints in Optimal Transport
ICML 2022
Q2R: A Query-to-Resolution System for Natural-Language Queries
NAACL 2022
Kernel-Based Reinforcement Learning in Robust Markov Decision Processes
ICML 2019
Labeled Graph Clustering via Projected Gradient Descent
AISTATS 2018
Clustering from General Pairwise Observations with Applications to Time-varying Graphs
JMLR 2017
A Convex Optimization Framework for Bi-Clustering
ICML 2015
Clustering from Labels and Time-Varying Graphs
NeurIPS 2014
Weighted Graph Clustering with Non-Uniform Uncertainties
ICML 2014
Reinforcement Learning in Robust Markov Decision Processes
NeurIPS 2013
Autonomous Exploration For Navigating In MDPs
COLT 2012