Nikos Vlassis
17 papers · 2005–2026 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (34) π Academic Marathon Β· Ultra π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Trendsetter Combo
(5)
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Keyword Collector
(79)
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory
(7)
Reinforcement Learning
(5)
Learning Types
(5)
Methods
(5)
Artificial Intelligence
(3)
Deep Learning
(3)
Mathematics & Optimization
(3)
Models
(3)
Optimization
(3)
Data Science & Analytics
(2)
Applications
(2)
Core Methods
(2)
Mathematics
(2)
Application Areas
(1)
Keywords
reinforcement learning
(4)
off-policy evaluation
(4)
slate recommendation
(2)
risk estimation
(2)
online learning
(2)
control variate
(2)
bayesian nonparametrics
(1)
clustering
(1)
dirichlet process
(1)
convex optimization
(1)
tensor decomposition
(1)
accelerated optimization
(1)
policy gradient
(1)
policy learning
(1)
variational inference
(1)
computational efficiency
(1)
distributional reinforcement learning
(1)
policy optimization
(1)
posterior sampling
(1)
flow matching
(1)
Papers
Lizard: An Efficient Linearization Framework for Large Language Models
ACL 2026
Stepwise Credit Assignment for GRPO on Flow-Matching Models
CVPR 2026
Distributional Off-Policy Evaluation for Slate Recommendations
AAAI 2024
Control Variates for Slate Off-Policy Evaluation
NeurIPS 2021
Marginal Posterior Sampling for Slate Bandits
IJCAI 2019
More Efficient Off-Policy Evaluation through Regularized Targeted Learning
ICML 2019
On the Design of Estimators for Bandit Off-Policy Evaluation
ICML 2019
Optimizing over a Restricted Policy Class in MDPs
AISTATS 2019
Scalar Posterior Sampling with Applications
NeurIPS 2018
A posteriori error bounds for joint matrix decomposition problems
NeurIPS 2016
Matching via Dimensionality Reduction for Estimation of Treatment Effects in Digital Marketing Campaigns
IJCAI 2016
Practical Linear Models for Large-Scale One-Class Collaborative Filtering
IJCAI 2016
Tensor Decomposition via Joint Matrix Schur Decomposition
ICML 2016
Accelerated Variational Dirichlet Process Mixtures
NeurIPS 2006
Collaborative Multiagent Reinforcement Learning by Payoff Propagation
JMLR 2006
Point-Based Value Iteration for Continuous POMDPs
JMLR 2006
Robot Planning in Partially Observable Continuous Domains
RSS 2005