| 2026 | ACL | Lizard: An Efficient Linearization Framework for Large Language Models. | Chien Van Nguyen, Huy Huu 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 | ASRU | AsyncVoice Agent: Real-Time Explanation for LLM Planning and Reasoning. | Yueqian Lin, Zhengmian Hu, Jayakumar Subramanian, Qinsi Wang, Nikos Vlassis, Hai Li, Yiran Chen |
| 2024 | AAAI | Distributional Off-Policy Evaluation for Slate Recommendations. | Shreyas Chaudhari, David Arbour, Georgios Theocharous, Nikos Vlassis |
| 2019 | AISTATS | Optimizing over a Restricted Policy Class in MDPs. | Ershad Banijamali, Yasin Abbasi-Yadkori, Mohammad Ghavamzadeh, Nikos Vlassis |
| 2019 | ICML | More Efficient Off-Policy Evaluation through Regularized Targeted Learning. | Aurlien Bibaut, Ivana Malenica, Nikos Vlassis, Mark J. van der Laan |
| 2019 | ICML | On the Design of Estimators for Bandit Off-Policy Evaluation. | Nikos Vlassis, Aurlien Bibaut, Maria Dimakopoulou, Tony Jebara |
| 2019 | IJCAI | Marginal Posterior Sampling for Slate Bandits. | Maria Dimakopoulou, Nikos Vlassis, Tony Jebara |
| 2017 | ICALP | Stochastic Control via Entropy Compression. | Dimitris Achlioptas, Fotis Iliopoulos, Nikos Vlassis |
| 2017 | IUI | An Interactive Points of Interest Guidance System. | Georgios Theocharous, Nikos Vlassis, Zheng Wen |
| 2017 | WWW | Does Weather Matter?: Causal Analysis of TV Logs. | Shi Zong, Branislav Kveton, Shlomo Berkovsky, Azin Ashkan, Nikos Vlassis, Zheng Wen |
| 2016 | ICML | Tensor Decomposition via Joint Matrix Schur Decomposition. | Nicol Colombo, Nikos Vlassis |
| 2016 | IJCAI | Matching via Dimensionality Reduction for Estimation of Treatment Effects in Digital Marketing Campaigns. | Sheng Li, Nikos Vlassis, Jaya Kawale, Yun Fu |
| 2016 | IJCAI | 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 |
| 2015 | MICCAI | Improved Parkinson's Disease Classification from Diffusion MRI Data by Fisher Vector Descriptors. | Luis Salamanca, Nikos Vlassis, Nico Diederich, Florian Bernard, Alexander Skupin |
| 2015 | UAI | Stable Spectral Learning Based on Schur Decomposition. | Nicol Colombo, Nikos Vlassis |
| 2009 | ICML | Model-free reinforcement learning as mixture learning. | Nikos Vlassis, Marc Toussaint |
| 2008 | ISAIM | Model-based Bayesian Reinforcement Learning in Partially Observable Domains. | Pascal Poupart, Nikos Vlassis |
| 2007 | IDC | A Cross-Entropy Approach to Solving Dec-POMDPs. | Frans A. Oliehoek, Julian F. P. Kooij, Nikos Vlassis |
| 2007 | IDC | Distributed Decision Making for Robot Teams. | Nikos Vlassis |
| 2006 | AAAI | Improving Approximate Value Iteration Using Memories and Predictive State Representations. | Michael R. James, Ton Wessling, Nikos Vlassis |
| 2006 | GECCO | The parallel Nash Memory for asymmetric games. | Frans A. Oliehoek, Edwin D. de Jong, Nikos Vlassis |
| 2006 | ICML | An analytic solution to discrete Bayesian reinforcement learning. | Pascal Poupart, Nikos Vlassis, Jesse Hoey, Kevin Regan |
| 2005 | ICRA | Planning with Continuous Actions in Partially Observable Environments. | Matthijs T. J. Spaan, Nikos Vlassis |
| 2005 | RoboCup | Using the Max-Plus Algorithm for Multiagent Decision Making in Coordination Graphs. | Jelle R. Kok, Nikos Vlassis |
| 2004 | ICML | Sparse cooperative Q-learning. | Jelle R. Kok, Nikos Vlassis |
| 2004 | ICRA | A Point-based POMDP Algorithm for Robot Planning. | Matthijs T. J. Spaan, Nikos Vlassis |
| 2004 | SMC | Skin detection using the EM algorithm with spatial constraints. | Aristeidis Diplaros, Theo Gevers, Nikos Vlassis |
| 2004 | SMC | Anytime algorithms for multiagent decision making using coordination graphs. | Nikos Vlassis, Reinoud Elhorst, Jelle R. Kok |
| 2003 | ESANN | Self-Organization by Optimizing Free-Energy. | Jakob J. Verbeek, Nikos Vlassis, Ben J. A. Krse |
| 2002 | ESANN | Fast nonlinear dimensionality reduction with topology representing networks. | Jakob J. Verbeek, Nikos Vlassis, Ben J. A. Krse |
| 2002 | ICANN | Coordinating Principal Component Analyzers. | Jakob J. Verbeek, Nikos Vlassis, Ben J. A. Krse |
| 2002 | ICRA | Auxiliary Particle Filter Robot Localization from High-Dimensional Sensor Observations. | Nikos Vlassis, Bas Terwijn, Ben J. A. Krse |
| 2002 | RoboCup | Towards an Optimal Scoring Policy for Simulated Soccer Agents. | Jelle R. Kok, Remco C. de Boer, Nikos Vlassis, Frans C. A. Groen |
| 2001 | ICANN | A Soft k-Segments Algorithm for Principal Curves. | Jakob J. Verbeek, Nikos Vlassis, Ben J. A. Krse |
| 2001 | ICANN | Fast Score Function Estimation with Application in ICA. | Nikos Vlassis |
| 2001 | ICRA | Learning Task-relevant Features from Robot Data. | Nikos Vlassis, Roland Bunschoten, Ben J. A. Krse |
| 2001 | ICRA | Edge-based Features from Omnidirectional Images for Robot Localization. | Nikos Vlassis, Yoichi Motomura, Isao Hara, Hideki Asoh |
| 2000 | ICRA | Supervised Linear Feature Extraction for Mobile Robot Localization. | Nikos Vlassis, Yoichi Motomura, Ben J. A. Krse |
| 1999 | IROS | Robot environment modeling via principal component regression. | Nikos Vlassis, Ben J. A. Krse |