Nikos Vlassis

According to our database, Nikos Vlassis authored at least 101 papers between 1996 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Distributional Off-Policy Evaluation for Slate Recommendations.

Shreyas Chaudhari, David Arbour, Georgios Theocharous, Nikos Vlassis

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

FigCaps-HF: A Figure-to-Caption Generative Framework and Benchmark with Human Feedback.

Ashish Singh, Prateek Agarwal, Zixuan Huang, Arpita Singh, Tong Yu, Sungchul Kim, Victor S. Bursztyn, Nikos Vlassis, Ryan A. Rossi

CoRR, 2023

2022

Local Policy Improvement for Recommender Systems.

Dawen Liang, Nikos Vlassis

CoRR, 2022

2021

Off-Policy Evaluation of Slate Policies under Bayes Risk.

Nikos Vlassis, Fernando Amat Gil, Ashok Chandrashekar

CoRR, 2021

Control Variates for Slate Off-Policy Evaluation.

Nikos Vlassis, Ashok Chandrashekar, Fernando Amat Gil, Nathan Kallus

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

Marginal Posterior Sampling for Slate Bandits.

Maria Dimakopoulou, Nikos Vlassis, Tony Jebara

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

On the Design of Estimators for Bandit Off-Policy Evaluation.

Nikos Vlassis, Aurélien Bibaut, Maria Dimakopoulou, Tony Jebara

Proceedings of the 36th International Conference on Machine Learning, 2019

More Efficient Off-Policy Evaluation through Regularized Targeted Learning.

Aurélien Bibaut, Ivana Malenica, Nikos Vlassis, Mark J. van der Laan

Proceedings of the 36th International Conference on Machine Learning, 2019

Optimizing over a Restricted Policy Class in MDPs.

Ershad Banijamali, Yasin Abbasi-Yadkori, Mohammad Ghavamzadeh, Nikos Vlassis

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Optimizing over a Restricted Policy Class in Markov Decision Processes.

Ershad Banijamali, Yasin Abbasi-Yadkori, Mohammad Ghavamzadeh, Nikos Vlassis

CoRR, 2018

Scalar Posterior Sampling with Applications.

Georgios Theocharous, Zheng Wen, Yasin Abbasi, Nikos Vlassis

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Capacity-aware Sequential Recommendations.

Frits de Nijs, Georgios Theocharous, Nikos Vlassis, Mathijs Michiel de Weerdt, Matthijs T. J. Spaan

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017

Posterior Sampling for Large Scale Reinforcement Learning.

Georgios Theocharous, Zheng Wen, Yasin Abbasi-Yadkori, Nikos Vlassis

CoRR, 2017

Does Weather Matter?: Causal Analysis of TV Logs.

Shi Zong, Branislav Kveton, Shlomo Berkovsky, Azin Ashkan, Nikos Vlassis, Zheng Wen

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

An Interactive Points of Interest Guidance System.

Georgios Theocharous, Nikos Vlassis, Zheng Wen

Proceedings of the Companion Publication of the 22nd International Conference on Intelligent User Interfaces, 2017

Stochastic Control via Entropy Compression.

Dimitris Achlioptas, Fotis Iliopoulos, Nikos Vlassis

Proceedings of the 44th International Colloquium on Automata, Languages, and Programming, 2017

2016

Approximate Joint Matrix Triangularization.

Nicolò Colombo, Nikos Vlassis

CoRR, 2016

t-Exponential Triplet Embedding.

Ehsan Amid, Nikos Vlassis, Manfred K. Warmuth

CoRR, 2016

A posteriori error bounds for joint matrix decomposition problems.

Nicolò Colombo, Nikos Vlassis

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Fast correspondences for statistical shape models of brain structures.

Florian Bernard, Nikos Vlassis, Peter Gemmar, Andreas Husch, Johan Thunberg, Jorge M. Gonçalves, Frank Hertel

Proceedings of the Medical Imaging 2016: Image Processing, 2016

Practical Linear Models for Large-Scale One-Class Collaborative Filtering.

Suvash Sedhain, Hung Bui, Jaya Kawale, Nikos Vlassis, Branislav Kveton, Aditya Krishna Menon, Trung Bui, Scott Sanner

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Matching via Dimensionality Reduction for Estimation of Treatment Effects in Digital Marketing Campaigns.

Sheng Li, Nikos Vlassis, Jaya Kawale, Yun Fu

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Tensor Decomposition via Joint Matrix Schur Decomposition.

Nicolò Colombo, Nikos Vlassis

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

FastMotif: spectral sequence motif discovery.

Nicolò Colombo, Nikos Vlassis

Bioinform., 2015

Stable Spectral Learning Based on Schur Decomposition.

Nicolò Colombo, Nikos Vlassis

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Improved Parkinson's Disease Classification from Diffusion MRI Data by Fisher Vector Descriptors.

Luis Salamanca, Nikos Vlassis, Nico Diederich, Florian Bernard, Alexander Skupin

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

2014

Polytopic uncertainty for linear systems: New and old complexity results.

Nikos Vlassis, Raphaël M. Jungers

Syst. Control. Lett., 2014

Fast Reconstruction of Compact Context-Specific Metabolic Network Models.

Nikos Vlassis, Maria Pires Pacheco, Thomas Sauter

PLoS Comput. Biol., 2014

Spectral Sequence Motif Discovery.

Nicolò Colombo, Nikos Vlassis

CoRR, 2014

fastGapFill: efficient gap filling in metabolic networks.

Ines Thiele, Nikos Vlassis, Ronan M. T. Fleming

Bioinform., 2014

2012

On the Computational Complexity of Stochastic Controller Optimization in POMDPs.

Nikos Vlassis, Michael L. Littman, David Barber

ACM Trans. Comput. Theory, 2012

NP-hardness of polytope M-matrix testing and related problems

Nikos Vlassis

CoRR, 2012

Bayesian Reinforcement Learning.

Nikos Vlassis, Mohammad Ghavamzadeh, Shie Mannor, Pascal Poupart

Proceedings of the Reinforcement Learning, 2012

2009

A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence

Nikos Vlassis

Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers, ISBN: 978-3-031-01543-4, 2009

Learning model-free robot control by a Monte Carlo EM algorithm.

Nikos Vlassis, Marc Toussaint, Georgios Kontes, Savas Piperidis

Auton. Robots, 2009

Model-free reinforcement learning as mixture learning.

Nikos Vlassis, Marc Toussaint

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008

Optimal and Approximate Q-value Functions for Decentralized POMDPs.

Frans A. Oliehoek, Matthijs T. J. Spaan, Nikos Vlassis

J. Artif. Intell. Res., 2008

The Cross-Entropy Method for Policy Search in Decentralized POMDPs.

Frans A. Oliehoek, Julian F. P. Kooij, Nikos Vlassis

Informatica (Slovenia), 2008

Multiagent Reinforcement Learning for Urban Traffic Control Using Coordination Graphs.

Lior Kuyer, Shimon Whiteson, Bram Bakker, Nikos Vlassis

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Model-based Bayesian Reinforcement Learning in Partially Observable Domains.

Pascal Poupart, Nikos Vlassis

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2008

Exploiting locality of interaction in factored Dec-POMDPs.

Frans A. Oliehoek, Matthijs T. J. Spaan, Shimon Whiteson, Nikos Vlassis

Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008

Multiagent Planning Under Uncertainty with Stochastic Communication Delays.

Matthijs T. J. Spaan, Frans A. Oliehoek, Nikos Vlassis

Proceedings of the Eighteenth International Conference on Automated Planning and Scheduling, 2008

2007

A Spatially Constrained Generative Model and an EM Algorithm for Image Segmentation.

Aristeidis Diplaros, Nikos Vlassis, Theo Gevers

IEEE Trans. Neural Networks, 2007

Distributed Decision Making for Robot Teams.

Nikos Vlassis

Proceedings of the Advances in Intelligent and Distributed Computing, 2007

A Cross-Entropy Approach to Solving Dec-POMDPs.

Frans A. Oliehoek, Julian F. P. Kooij, Nikos Vlassis

Proceedings of the Advances in Intelligent and Distributed Computing, 2007

Q-value functions for decentralized POMDPs.

Frans A. Oliehoek, Nikos Vlassis

Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2007), 2007

Q-value Heuristics for Approximate Solutions of Dec-POMDPs.

Frans A. Oliehoek, Nikos Vlassis

Proceedings of the Game Theoretic and Decision Theoretic Agents, 2007

2006

Planning under uncertainty in robotics.

Nikos Vlassis, Geoffrey J. Gordon, Joelle Pineau

Robotics Auton. Syst., 2006

Gaussian fields for semi-supervised regression and correspondence learning.

Jakob J. Verbeek, Nikos Vlassis

Pattern Recognit., 2006

Point-Based Value Iteration for Continuous POMDPs.

Josep M. Porta, Nikos Vlassis, Matthijs T. J. Spaan, Pascal Poupart

J. Mach. Learn. Res., 2006

Collaborative Multiagent Reinforcement Learning by Payoff Propagation.

Jelle R. Kok, Nikos Vlassis

J. Mach. Learn. Res., 2006

Accelerated EM-based clustering of large data sets.

Jakob J. Verbeek, Jan Nunnink, Nikos Vlassis

Data Min. Knowl. Discov., 2006

Accelerated Variational Dirichlet Process Mixtures.

Kenichi Kurihara, Max Welling, Nikos Vlassis

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

An analytic solution to discrete Bayesian reinforcement learning.

Pascal Poupart, Nikos Vlassis, Jesse Hoey, Kevin Regan

Proceedings of the Machine Learning, 2006

The parallel Nash Memory for asymmetric games.

Frans A. Oliehoek, Edwin D. de Jong, Nikos Vlassis

Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Decentralized planning under uncertainty for teams of communicating agents.

Matthijs T. J. Spaan, Geoffrey J. Gordon, Nikos Vlassis

Proceedings of the 5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006), 2006

Improving Approximate Value Iteration Using Memories and Predictive State Representations.

Michael R. James, Ton Wessling, Nikos Vlassis

Proceedings of the Proceedings, 2006

2005

Non-communicative multi-robot coordination in dynamic environments.

Jelle R. Kok, Matthijs T. J. Spaan, Nikos Vlassis

Robotics Auton. Syst., 2005

Perseus: Randomized Point-based Value Iteration for POMDPs.

Matthijs T. J. Spaan, Nikos Vlassis

J. Artif. Intell. Res., 2005

Self-organizing mixture models.

Jakob J. Verbeek, Nikos Vlassis, Ben J. A. Kröse

Neurocomputing, 2005

Using the Max-Plus Algorithm for Multiagent Decision Making in Coordination Graphs.

Jelle R. Kok, Nikos Vlassis

Proceedings of the RoboCup 2005: Robot Soccer World Cup IX, 2005

Gossip-Based Greedy Gaussian Mixture Learning.

Nikos Vlassis, Yiannis Sfakianakis, Wojtek Kowalczyk

Proceedings of the Advances in Informatics, 2005

Planning with Continuous Actions in Partially Observable Environments.

Matthijs T. J. Spaan, Nikos Vlassis

Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005

Utile Coordination: Learning Interdependencies Among Cooperative Agents.

Jelle R. Kok, Pieter Jan't Hoen, Bram Bakker, Nikos Vlassis

Proceedings of the 2005 IEEE Symposium on Computational Intelligence and Games (CIG05), 2005

Robot Planning in Partially Observable Continuous Domains.

Josep M. Porta, Matthijs T. J. Spaan, Nikos Vlassis

Proceedings of the BNAIC 2005, 2005

Coevolutionary Nash in poker games.

Frans A. Oliehoek, Nikos Vlassis, Edwin D. de Jong

Proceedings of the BNAIC 2005, 2005

2004

Household robots look and learn: environment modeling and localization from an omnidirectional vision system.

Ben J. A. Kröse, Roland Bunschoten, Stephan ten Hagen, Bas Terwijn, Nikos Vlassis

IEEE Robotics Autom. Mag., 2004

Anytime algorithms for multiagent decision making using coordination graphs.

Nikos Vlassis, Reinoud Elhorst, Jelle R. Kok

Proceedings of the IEEE International Conference on Systems, 2004

Skin detection using the EM algorithm with spatial constraints.

Aristeidis Diplaros, Theo Gevers, Nikos Vlassis

Proceedings of the IEEE International Conference on Systems, 2004

Newscast EM.

Wojtek Kowalczyk, Nikos Vlassis

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

A Point-based POMDP Algorithm for Robot Planning.

Matthijs T. J. Spaan, Nikos Vlassis

Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004

Sparse cooperative Q-learning.

Jelle R. Kok, Nikos Vlassis

Proceedings of the Machine Learning, 2004

2003

The global k-means clustering algorithm.

Aristidis Likas, Nikos Vlassis, Jakob J. Verbeek

Pattern Recognit., 2003

Efficient Greedy Learning of Gaussian Mixture Models.

Jakob J. Verbeek, Nikos Vlassis, Ben J. A. Kröse

Neural Comput., 2003

Non-linear CCA and PCA by Alignment of Local Models.

Jakob J. Verbeek, Sam T. Roweis, Nikos Vlassis

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Self-Organization by Optimizing Free-Energy.

Jakob J. Verbeek, Nikos Vlassis, Ben J. A. Kröse

Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003

2002

A <i>k</i>-segments algorithm for finding principal curves.

Jakob J. Verbeek, Nikos Vlassis, Ben J. A. Kröse

Pattern Recognit. Lett., 2002

A Greedy EM Algorithm for Gaussian Mixture Learning.

Nikos Vlassis, Aristidis Likas

Neural Process. Lett., 2002

Supervised Dimension Reduction of Intrinsically Low-Dimensional Data.

Nikos Vlassis, Yoichi Motomura, Ben J. A. Kröse

Neural Comput., 2002

Towards an Optimal Scoring Policy for Simulated Soccer Agents.

Jelle R. Kok, Remco C. de Boer, Nikos Vlassis, Frans C. A. Groen

Proceedings of the RoboCup 2002: Robot Soccer World Cup VI, 2002

Auxiliary Particle Filter Robot Localization from High-Dimensional Sensor Observations.

Nikos Vlassis, Bas Terwijn, Ben J. A. Kröse

Proceedings of the 2002 IEEE International Conference on Robotics and Automation, 2002

Coordinating Principal Component Analyzers.

Jakob J. Verbeek, Nikos Vlassis, Ben J. A. Kröse

Proceedings of the Artificial Neural Networks, 2002

Fast nonlinear dimensionality reduction with topology representing networks.

Jakob J. Verbeek, Nikos Vlassis, Ben J. A. Kröse

Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002

2001

Efficient source adaptivity in independent component analysis.

Nikos Vlassis, Yoichi Motomura

IEEE Trans. Neural Networks, 2001

A probabilistic model for appearance-based robot localization.

Ben J. A. Kröse, Nikos Vlassis, Roland Bunschoten, Yoichi Motomura

Image Vis. Comput., 2001

Jijo-2: An Office Robot that Communicates and Learns.

Hideki Asoh, Nikos Vlassis, Yoichi Motomura, Futoshi Asano, Isao Hara, Satoru Hayamizu, Katsunobu Itou, Takio Kurita, Toshihiro Matsui, Roland Bunschoten, Ben J. A. Kröse

IEEE Intell. Syst., 2001

Edge-based Features from Omnidirectional Images for Robot Localization.

Nikos Vlassis, Yoichi Motomura, Isao Hara, Hideki Asoh

Proceedings of the 2001 IEEE International Conference on Robotics and Automation, 2001

Learning Task-relevant Features from Robot Data.

Nikos Vlassis, Roland Bunschoten, Ben J. A. Kröse

Proceedings of the 2001 IEEE International Conference on Robotics and Automation, 2001

Fast Score Function Estimation with Application in ICA.

Nikos Vlassis

Proceedings of the Artificial Neural Networks, 2001

A Soft k-Segments Algorithm for Principal Curves.

Jakob J. Verbeek, Nikos Vlassis, Ben J. A. Kröse

Proceedings of the Artificial Neural Networks, 2001

2000

Supervised Linear Feature Extraction for Mobile Robot Localization.

Nikos Vlassis, Yoichi Motomura, Ben J. A. Kröse

Proceedings of the 2000 IEEE International Conference on Robotics and Automation, 2000

Omnidirectional Vision for Appearance-Based Robot Localization.

Ben J. A. Kröse, Nikos Vlassis, Roland Bunschoten

Proceedings of the Sensor Based Intelligent Robots, 2000

1999

A kurtosis-based dynamic approach to Gaussian mixture modeling.

Nikos Vlassis, Aristidis Likas

IEEE Trans. Syst. Man Cybern. Part A, 1999

Mixture Density Estimation Based on Maximum Likelihood and Sequential Test Statistics.

Nikos A. Vlassis, George K. Papakonstantinou, Panayotis Tsanakas

Neural Process. Lett., 1999

Robot environment modeling via principal component regression.

Nikos Vlassis, Ben J. A. Kröse

Proceedings of the Proceedings 1999 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human and Environment Friendly Robots with High Intelligence and Emotional Quotients, 1999

1998

Dynamic sensory probabilistic maps for mobile robot localization.

Nikos A. Vlassis, George K. Papakonstantinou, Panayotis Tsanakas

Proceedings of the Proceedings 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems. Innovations in Theory, 1998

A Sensory Uncertainty Field Model for Unknown and Non-Stationary Mobile Robot Environments.

Nikos A. Vlassis, Panayotis Tsanakas

Proceedings of the IEEE International Conference on Robotics and Automation, 1998

A vector quantization schema for non-stationary signal distributions based on ML estimation of mixture densities.

Nikos A. Vlassis, Konstantinos Blekas, George K. Papakonstantinou, Andreas Stafylopatis

Proceedings of the 9th European Signal Processing Conference, 1998

1997

The Probabilistic Growing Cell Structures Algorithm.

Nikos A. Vlassis, Apostolos Dimopoulos, George K. Papakonstantinou

Proceedings of the Artificial Neural Networks, 1997

1996

An experiment for truly parallel logic programming.

George K. Efthivoulidis, Nikos Vlassis, Panayotis Tsanakas, George K. Papakonstantinou

J. Intell. Robotic Syst., 1996

Global Path Planning for Autonomous Qualitative Navigation.

Nikos A. Vlassis, Nikitas M. Sgouros, G. Efthivoulidis, George K. Papakonstantinou, Panayotis Tsanakas

Proceedings of the Eigth International Conference on Tools with Artificial Intelligence, 1996