Nikos Vlassis - RankMe

112 papers A* 21A 7B 3C 6Misc 3Journal 51Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Stepwise Credit Assignment for GRPO on Flow-Matching Models. CoRR Yash Savani, Branislav Kveton, Yuchen Liu, Yilin Wang, Jing Shi, Subhojyoti Mukherjee, Nikos Vlassis, Krishna Kumar Singh
2025	C	`conf`	AsyncVoice Agent: Real-Time Explanation for LLM Planning and Reasoning. ASRU Yueqian Lin, Zhengmian Hu, Jayakumar Subramanian, Qinsi Wang, Nikos Vlassis, Hai Li, Yiran Chen
2025	J	`jnl`	AsyncVoice Agent: Real-Time Explanation for LLM Planning and Reasoning. CoRR Yueqian Lin, Zhengmian Hu, Jayakumar Subramanian, Qinsi Wang, Nikos Vlassis, Hai Helen Li, Yiran Chen
2025	J	`jnl`	Lizard: An Efficient Linearization Framework for Large Language Models. CoRR Chien Van Nguyen, Ruiyi Zhang, Hanieh Deilamsalehy, Puneet Mathur, Viet Dac Lai, Haoliang Wang, Jayakumar Subramanian, Ryan A. Rossi, Trung Bui, Nikos Vlassis, Franck Dernoncourt, Thien Huu Nguyen
2025	J	`jnl`	Voice Evaluation of Reasoning Ability: Diagnosing the Modality-Induced Performance Gap. CoRR Yueqian Lin, Zhengmian Hu, Qinsi Wang, Yudong Liu, Hengfan Zhang, Jayakumar Subramanian, Nikos Vlassis, Hai Helen Li, Yiran Chen
2024	A*	`conf`	Distributional Off-Policy Evaluation for Slate Recommendations. AAAI Shreyas Chaudhari, David Arbour, Georgios Theocharous, Nikos Vlassis
2023	J	`jnl`	Distributional Off-Policy Evaluation for Slate Recommendations. CoRR Shreyas Chaudhari, David Arbour, Georgios Theocharous, Nikos Vlassis
2023	J	`jnl`	FigCaps-HF: A Figure-to-Caption Generative Framework and Benchmark with Human Feedback. CoRR Ashish Singh, Prateek Agarwal, Zixuan Huang, Arpita Singh, Tong Yu, Sungchul Kim, Victor S. Bursztyn, Nikos Vlassis, Ryan A. Rossi
2022	J	`jnl`	Local Policy Improvement for Recommender Systems. CoRR Dawen Liang, Nikos Vlassis
2021	A*	`conf`	Control Variates for Slate Off-Policy Evaluation. NeurIPS Nikos Vlassis, Ashok Chandrashekar, Fernando Amat Gil, Nathan Kallus
2021	J	`jnl`	Control Variates for Slate Off-Policy Evaluation. CoRR Nikos Vlassis, Ashok Chandrashekar, Fernando Amat Gil, Nathan Kallus
2021	J	`jnl`	Off-Policy Evaluation of Slate Policies under Bayes Risk. CoRR Nikos Vlassis, Fernando Amat Gil, Ashok Chandrashekar
2019	A*	`conf`	Marginal Posterior Sampling for Slate Bandits. IJCAI Maria Dimakopoulou, Nikos Vlassis, Tony Jebara
2019	A*	`conf`	More Efficient Off-Policy Evaluation through Regularized Targeted Learning. ICML Aurélien Bibaut, Ivana Malenica, Nikos Vlassis, Mark J. van der Laan
2019	J	`jnl`	More Efficient Off-Policy Evaluation through Regularized Targeted Learning. CoRR Aurélien F. Bibaut, Ivana Malenica, Nikos Vlassis, Mark J. van der Laan
2019	A*	`conf`	On the Design of Estimators for Bandit Off-Policy Evaluation. ICML Nikos Vlassis, Aurélien Bibaut, Maria Dimakopoulou, Tony Jebara
2019	A	`conf`	Optimizing over a Restricted Policy Class in MDPs. AISTATS Ershad Banijamali, Yasin Abbasi-Yadkori, Mohammad Ghavamzadeh, Nikos Vlassis
2018	A	`conf`	Capacity-aware Sequential Recommendations. AAMAS Frits de Nijs, Georgios Theocharous, Nikos Vlassis, Mathijs Michiel de Weerdt, Matthijs T. J. Spaan
2018	J	`jnl`	Optimizing over a Restricted Policy Class in Markov Decision Processes. CoRR Ershad Banijamali, Yasin Abbasi-Yadkori, Mohammad Ghavamzadeh, Nikos Vlassis
2018	A*	`conf`	Scalar Posterior Sampling with Applications. NeurIPS Georgios Theocharous, Zheng Wen, Yasin Abbasi, Nikos Vlassis
2017	—	`conf`	An Interactive Points of Interest Guidance System. IUI Companion Georgios Theocharous, Nikos Vlassis, Zheng Wen
2017	J	`jnl`	Does Weather Matter? Causal Analysis of TV Logs. CoRR Shi Zong, Branislav Kveton, Shlomo Berkovsky, Azin Ashkan, Nikos Vlassis, Zheng Wen
2017	—	`conf`	Does Weather Matter?: Causal Analysis of TV Logs. WWW (Companion Volume) Shi Zong, Branislav Kveton, Shlomo Berkovsky, Azin Ashkan, Nikos Vlassis, Zheng Wen
2017	J	`jnl`	Posterior Sampling for Large Scale Reinforcement Learning. CoRR Georgios Theocharous, Zheng Wen, Yasin Abbasi-Yadkori, Nikos Vlassis
2017	A*	`conf`	Stochastic Control via Entropy Compression. ICALP Dimitris Achlioptas, Fotis Iliopoulos, Nikos Vlassis
2016	—	`conf`	A posteriori error bounds for joint matrix decomposition problems. NIPS Nicolò Colombo, Nikos Vlassis
2016	J	`jnl`	Approximate Joint Matrix Triangularization. CoRR Nicolò Colombo, Nikos Vlassis
2016	B	`conf`	Fast correspondences for statistical shape models of brain structures. Image Processing Florian Bernard, Nikos Vlassis, Peter Gemmar, Andreas Husch, Johan Thunberg, Jorge M. Gonçalves, Frank Hertel
2016	A*	`conf`	Matching via Dimensionality Reduction for Estimation of Treatment Effects in Digital Marketing Campaigns. IJCAI Sheng Li, Nikos Vlassis, Jaya Kawale, Yun Fu
2016	A*	`conf`	Practical Linear Models for Large-Scale One-Class Collaborative Filtering. IJCAI Suvash Sedhain, Hung Bui, Jaya Kawale, Nikos Vlassis, Branislav Kveton, Aditya Krishna Menon, Trung Bui, Scott Sanner
2016	J	`jnl`	Stochastic Control via Entropy Compression. CoRR Dimitris Achlioptas, Fotis Iliopoulos, Nikos Vlassis
2016	A*	`conf`	Tensor Decomposition via Joint Matrix Schur Decomposition. ICML Nicolò Colombo, Nikos Vlassis
2016	J	`jnl`	t-Exponential Triplet Embedding. CoRR Ehsan Amid, Nikos Vlassis, Manfred K. Warmuth
2015	J	`jnl`	FastMotif: spectral sequence motif discovery. Bioinform. Nicolò Colombo, Nikos Vlassis
2015	—	`conf`	Improved Parkinson's Disease Classification from Diffusion MRI Data by Fisher Vector Descriptors. MICCAI (2) Luis Salamanca, Nikos Vlassis, Nico Diederich, Florian Bernard, Alexander Skupin
2015	A	`conf`	Stable Spectral Learning Based on Schur Decomposition. UAI Nicolò Colombo, Nikos Vlassis
2014	J	`jnl`	Fast Reconstruction of Compact Context-Specific Metabolic Network Models. PLoS Comput. Biol. Nikos Vlassis, Maria Pires Pacheco, Thomas Sauter
2014	J	`jnl`	Polytopic uncertainty for linear systems: New and old complexity results. Syst. Control. Lett. Nikos Vlassis, Raphaël M. Jungers
2014	J	`jnl`	Spectral Sequence Motif Discovery. CoRR Nicolò Colombo, Nikos Vlassis
2014	J	`jnl`	fastGapFill: efficient gap filling in metabolic networks. Bioinform. Ines Thiele, Nikos Vlassis, Ronan M. T. Fleming
2013	J	`jnl`	Fast Reconstruction of Compact Context-Specific Metabolic Network Models CoRR Nikos Vlassis, Maria Pires Pacheco, Thomas Sauter
2013	J	`jnl`	Polytopic uncertainty for linear systems: New and old complexity results. CoRR Nikos Vlassis, Raphaël M. Jungers
2012	—	`ch.`	Bayesian Reinforcement Learning. Reinforcement Learning Nikos Vlassis, Mohammad Ghavamzadeh, Shie Mannor, Pascal Poupart
2012	J	`jnl`	NP-hardness of polytope M-matrix testing and related problems CoRR Nikos Vlassis
2012	J	`jnl`	On the Computational Complexity of Stochastic Controller Optimization in POMDPs. ACM Trans. Comput. Theory Nikos Vlassis, Michael L. Littman, David Barber
2011	J	`jnl`	On the computational complexity of stochastic controller optimization in POMDPs CoRR Nikos Vlassis, Michael L. Littman, David Barber
2011	J	`jnl`	Optimal and Approximate Q-value Functions for Decentralized POMDPs CoRR Frans A. Oliehoek, Matthijs T. J. Spaan, Nikos Vlassis
2011	J	`jnl`	Perseus: Randomized Point-based Value Iteration for POMDPs CoRR Matthijs T. J. Spaan, Nikos Vlassis
2009	—	`book`	A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence Nikos Vlassis
2009	J	`jnl`	Learning model-free robot control by a Monte Carlo EM algorithm. Auton. Robots Nikos Vlassis, Marc Toussaint, Georgios D. Kontes, Savas Piperidis
2009	A*	`conf`	Model-free reinforcement learning as mixture learning. ICML Nikos Vlassis, Marc Toussaint
2008	—	`conf`	Exploiting locality of interaction in factored Dec-POMDPs. AAMAS (1) Frans A. Oliehoek, Matthijs T. J. Spaan, Shimon Whiteson, Nikos Vlassis
2008	Misc	`conf`	Model-based Bayesian Reinforcement Learning in Partially Observable Domains. ISAIM Pascal Poupart, Nikos Vlassis
2008	A*	`conf`	Multiagent Planning Under Uncertainty with Stochastic Communication Delays. ICAPS Matthijs T. J. Spaan, Frans A. Oliehoek, Nikos Vlassis
2008	—	`conf`	Multiagent Reinforcement Learning for Urban Traffic Control Using Coordination Graphs. ECML/PKDD (1) Lior Kuyer, Shimon Whiteson, Bram Bakker, Nikos Vlassis
2008	J	`jnl`	Optimal and Approximate Q-value Functions for Decentralized POMDPs. J. Artif. Intell. Res. Frans A. Oliehoek, Matthijs T. J. Spaan, Nikos Vlassis
2008	J	`jnl`	The Cross-Entropy Method for Policy Search in Decentralized POMDPs. Informatica (Slovenia) Frans A. Oliehoek, Julian F. P. Kooij, Nikos Vlassis
2007	Misc	`conf`	A Cross-Entropy Approach to Solving Dec-POMDPs. IDC Frans A. Oliehoek, Julian F. P. Kooij, Nikos Vlassis
2007	J	`jnl`	A Spatially Constrained Generative Model and an EM Algorithm for Image Segmentation. IEEE Trans. Neural Networks Aristeidis Diplaros, Nikos Vlassis, Theo Gevers
2007	Misc	`conf`	Distributed Decision Making for Robot Teams. IDC Nikos Vlassis
2007	—	`conf`	Q-value Heuristics for Approximate Solutions of Dec-POMDPs. AAAI Spring Symposium: Game Theoretic and Decision Theoretic Agents Frans A. Oliehoek, Nikos Vlassis
2007	A	`conf`	Q-value functions for decentralized POMDPs. AAMAS Frans A. Oliehoek, Nikos Vlassis
2006	J	`jnl`	Accelerated EM-based clustering of large data sets. Data Min. Knowl. Discov. Jakob J. Verbeek, Jan Nunnink, Nikos Vlassis
2006	—	`conf`	Accelerated Variational Dirichlet Process Mixtures. NIPS Kenichi Kurihara, Max Welling, Nikos Vlassis
2006	A*	`conf`	An analytic solution to discrete Bayesian reinforcement learning. ICML Pascal Poupart, Nikos Vlassis, Jesse Hoey, Kevin Regan
2006	J	`jnl`	Collaborative Multiagent Reinforcement Learning by Payoff Propagation. J. Mach. Learn. Res. Jelle R. Kok, Nikos Vlassis
2006	A	`conf`	Decentralized planning under uncertainty for teams of communicating agents. AAMAS Matthijs T. J. Spaan, Geoffrey J. Gordon, Nikos Vlassis
2006	J	`jnl`	Gaussian fields for semi-supervised regression and correspondence learning. Pattern Recognit. Jakob J. Verbeek, Nikos Vlassis
2006	A*	`conf`	Improving Approximate Value Iteration Using Memories and Predictive State Representations. AAAI Michael R. James, Ton Wessling, Nikos Vlassis
2006	J	`jnl`	Planning under uncertainty in robotics. Robotics Auton. Syst. Nikos Vlassis, Geoffrey J. Gordon, Joelle Pineau
2006	J	`jnl`	Point-Based Value Iteration for Continuous POMDPs. J. Mach. Learn. Res. Josep M. Porta, Nikos Vlassis, Matthijs T. J. Spaan, Pascal Poupart
2006	A	`conf`	The parallel Nash Memory for asymmetric games. GECCO Frans A. Oliehoek, Edwin D. de Jong, Nikos Vlassis
2005	—	`conf`	Coevolutionary Nash in poker games. BNAIC Frans A. Oliehoek, Nikos Vlassis, Edwin D. de Jong
2005	—	`conf`	Gossip-Based Greedy Gaussian Mixture Learning. Panhellenic Conference on Informatics Nikos Vlassis, Yiannis Sfakianakis, Wojtek Kowalczyk
2005	J	`jnl`	Non-communicative multi-robot coordination in dynamic environments. Robotics Auton. Syst. Jelle R. Kok, Matthijs T. J. Spaan, Nikos Vlassis
2005	J	`jnl`	Perseus: Randomized Point-based Value Iteration for POMDPs. J. Artif. Intell. Res. Matthijs T. J. Spaan, Nikos Vlassis
2005	A*	`conf`	Planning with Continuous Actions in Partially Observable Environments. ICRA Matthijs T. J. Spaan, Nikos Vlassis
2005	—	`conf`	Robot Planning in Partially Observable Continuous Domains. BNAIC Josep M. Porta, Matthijs T. J. Spaan, Nikos Vlassis
2005	—	`conf`	Robot Planning in Partially Observable Continuous Domains. Robotics: Science and Systems Josep M. Porta, Matthijs T. J. Spaan, Nikos Vlassis
2005	J	`jnl`	Self-organizing mixture models. Neurocomputing Jakob J. Verbeek, Nikos Vlassis, Ben J. A. Kröse
2005	—	`conf`	Using the Max-Plus Algorithm for Multiagent Decision Making in Coordination Graphs. BNAIC Jelle R. Kok, Nikos Vlassis
2005	C	`conf`	Using the Max-Plus Algorithm for Multiagent Decision Making in Coordination Graphs. RoboCup Jelle R. Kok, Nikos Vlassis
2005	—	`conf`	Utile Coordination: Learning Interdependencies Among Cooperative Agents. CIG Jelle R. Kok, Pieter Jan't Hoen, Bram Bakker, Nikos Vlassis
2004	A*	`conf`	A Point-based POMDP Algorithm for Robot Planning. ICRA Matthijs T. J. Spaan, Nikos Vlassis
2004	—	`conf`	Anytime algorithms for multiagent decision making using coordination graphs. SMC (1) Nikos Vlassis, Reinoud Elhorst, Jelle R. Kok
2004	J	`jnl`	Household robots look and learn: environment modeling and localization from an omnidirectional vision system. IEEE Robotics Autom. Mag. Ben J. A. Kröse, Roland Bunschoten, Stephan ten Hagen, Bas Terwijn, Nikos Vlassis
2004	—	`conf`	Newscast EM. NIPS Wojtek Kowalczyk, Nikos Vlassis
2004	—	`conf`	Skin detection using the EM algorithm with spatial constraints. SMC (4) Aristeidis Diplaros, Theo Gevers, Nikos Vlassis
2004	A*	`conf`	Sparse cooperative Q-learning. ICML Jelle R. Kok, Nikos Vlassis
2003	J	`jnl`	Efficient Greedy Learning of Gaussian Mixture Models. Neural Comput. Jakob J. Verbeek, Nikos Vlassis, Ben J. A. Kröse
2003	—	`conf`	Non-linear CCA and PCA by Alignment of Local Models. NIPS Jakob J. Verbeek, Sam T. Roweis, Nikos Vlassis
2003	B	`conf`	Self-Organization by Optimizing Free-Energy. ESANN Jakob J. Verbeek, Nikos Vlassis, Ben J. A. Kröse
2003	J	`jnl`	The global k-means clustering algorithm. Pattern Recognit. Aristidis Likas, Nikos Vlassis, Jakob J. Verbeek
2002	J	`jnl`	A Pattern Recognit. Lett. Jakob J. Verbeek, Nikos Vlassis, Ben J. A. Kröse
2002	J	`jnl`	A Greedy EM Algorithm for Gaussian Mixture Learning. Neural Process. Lett. Nikos Vlassis, Aristidis Likas
2002	A*	`conf`	Auxiliary Particle Filter Robot Localization from High-Dimensional Sensor Observations. ICRA Nikos Vlassis, Bas Terwijn, Ben J. A. Kröse
2002	C	`conf`	Coordinating Principal Component Analyzers. ICANN Jakob J. Verbeek, Nikos Vlassis, Ben J. A. Kröse
2002	B	`conf`	Fast nonlinear dimensionality reduction with topology representing networks. ESANN Jakob J. Verbeek, Nikos Vlassis, Ben J. A. Kröse
2002	J	`jnl`	Supervised Dimension Reduction of Intrinsically Low-Dimensional Data. Neural Comput. Nikos Vlassis, Yoichi Motomura, Ben J. A. Kröse
2002	C	`conf`	Towards an Optimal Scoring Policy for Simulated Soccer Agents. RoboCup Jelle R. Kok, Remco C. de Boer, Nikos Vlassis, Frans C. A. Groen
2001	C	`conf`	A Soft k-Segments Algorithm for Principal Curves. ICANN Jakob J. Verbeek, Nikos Vlassis, Ben J. A. Kröse
2001	J	`jnl`	A probabilistic model for appearance-based robot localization. Image Vis. Comput. Ben J. A. Kröse, Nikos Vlassis, Roland Bunschoten, Yoichi Motomura
2001	A*	`conf`	Edge-based Features from Omnidirectional Images for Robot Localization. ICRA Nikos Vlassis, Yoichi Motomura, Isao Hara, Hideki Asoh
2001	J	`jnl`	Efficient source adaptivity in independent component analysis. IEEE Trans. Neural Networks Nikos Vlassis, Yoichi Motomura
2001	C	`conf`	Fast Score Function Estimation with Application in ICA. ICANN Nikos Vlassis
2001	J	`jnl`	Jijo-2: An Office Robot that Communicates and Learns. IEEE Intell. Syst. Hideki Asoh, Nikos Vlassis, Yoichi Motomura, Futoshi Asano, Isao Hara, Satoru Hayamizu, Katsunobu Itou, Takio Kurita, Toshihiro Matsui, Roland Bunschoten, Ben J. A. Kröse
2001	A*	`conf`	Learning Task-relevant Features from Robot Data. ICRA Nikos Vlassis, Roland Bunschoten, Ben J. A. Kröse
2000	—	`conf`	Omnidirectional Vision for Appearance-Based Robot Localization. Sensor Based Intelligent Robots Ben J. A. Kröse, Nikos Vlassis, Roland Bunschoten
2000	A*	`conf`	Supervised Linear Feature Extraction for Mobile Robot Localization. ICRA Nikos Vlassis, Yoichi Motomura, Ben J. A. Kröse
1999	J	`jnl`	A kurtosis-based dynamic approach to Gaussian mixture modeling. IEEE Trans. Syst. Man Cybern. Part A Nikos Vlassis, Aristidis Likas
1999	A	`conf`	Robot environment modeling via principal component regression. IROS Nikos Vlassis, Ben J. A. Kröse
1996	J	`jnl`	An experiment for truly parallel logic programming. J. Intell. Robotic Syst. George K. Efthivoulidis, Nikos Vlassis, Panayotis Tsanakas, George K. Papakonstantinou