Nikos Vlassis

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 28

Top Topics

Markov Decision Process

Metropolis Hastings

Policy Evaluation

Top Venues

Publications

Shreyas Chaudhari, David Arbour, Georgios Theocharous, Nikos Vlassis
Distributional Off-Policy Evaluation for Slate Recommendations. AAAI (2024)
Ashish Singh, Prateek Agarwal, Zixuan Huang, Arpita Singh, Tong Yu, Sungchul Kim, Victor Bursztyn, Nikos Vlassis, Ryan A. Rossi
FigCaps-HF: A Figure-to-Caption Generative Framework and Benchmark with Human Feedback. CoRR (2023)
Shreyas Chaudhari, David Arbour, Georgios Theocharous, Nikos Vlassis
Distributional Off-Policy Evaluation for Slate Recommendations. CoRR (2023)
Dawen Liang, Nikos Vlassis
Local Policy Improvement for Recommender Systems. CoRR (2022)
Nikos Vlassis, Ashok Chandrashekar, Fernando Amat Gil, Nathan Kallus
Control Variates for Slate Off-Policy Evaluation. CoRR (2021)
Nikos Vlassis, Fernando Amat Gil, Ashok Chandrashekar
Off-Policy Evaluation of Slate Policies under Bayes Risk. CoRR (2021)
Nikos Vlassis, Ashok Chandrashekar, Fernando Amat Gil, Nathan Kallus
Control Variates for Slate Off-Policy Evaluation. NeurIPS (2021)
Ershad Banijamali, Yasin Abbasi-Yadkori, Mohammad Ghavamzadeh, Nikos Vlassis
Optimizing over a Restricted Policy Class in MDPs. AISTATS (2019)
Aurélien F. Bibaut, Ivana Malenica, Nikos Vlassis, Mark J. van der Laan
More Efficient Off-Policy Evaluation through Regularized Targeted Learning. CoRR (2019)
Nikos Vlassis, Aurélien Bibaut, Maria Dimakopoulou, Tony Jebara
On the Design of Estimators for Bandit Off-Policy Evaluation. ICML (2019)
Maria Dimakopoulou, Nikos Vlassis, Tony Jebara
Marginal Posterior Sampling for Slate Bandits. IJCAI (2019)
Aurélien Bibaut, Ivana Malenica, Nikos Vlassis, Mark J. van der Laan
More Efficient Off-Policy Evaluation through Regularized Targeted Learning. ICML (2019)
Frits de Nijs, Georgios Theocharous, Nikos Vlassis, Mathijs Michiel de Weerdt, Matthijs T. J. Spaan
Capacity-aware Sequential Recommendations. AAMAS (2018)
Ershad Banijamali, Yasin Abbasi-Yadkori, Mohammad Ghavamzadeh, Nikos Vlassis
Optimizing over a Restricted Policy Class in Markov Decision Processes. CoRR (2018)
Georgios Theocharous, Zheng Wen, Yasin Abbasi, Nikos Vlassis
Scalar Posterior Sampling with Applications. NeurIPS (2018)
Shi Zong, Branislav Kveton, Shlomo Berkovsky, Azin Ashkan, Nikos Vlassis, Zheng Wen
Does Weather Matter? Causal Analysis of TV Logs. CoRR (2017)
Dimitris Achlioptas, Fotis Iliopoulos, Nikos Vlassis
Stochastic Control via Entropy Compression. ICALP (2017)
Georgios Theocharous, Zheng Wen, Yasin Abbasi-Yadkori, Nikos Vlassis
Posterior Sampling for Large Scale Reinforcement Learning. CoRR (2017)
Georgios Theocharous, Nikos Vlassis, Zheng Wen
An Interactive Points of Interest Guidance System. IUI Companion (2017)
Shi Zong, Branislav Kveton, Shlomo Berkovsky, Azin Ashkan, Nikos Vlassis, Zheng Wen
Does Weather Matter?: Causal Analysis of TV Logs. WWW (Companion Volume) (2017)
Dimitris Achlioptas, Fotis Iliopoulos, Nikos Vlassis
Stochastic Control via Entropy Compression. CoRR (2016)
Suvash Sedhain, Hung Hai Bui, Jaya Kawale, Nikos Vlassis, Branislav Kveton, Aditya Krishna Menon, Trung Bui, Scott Sanner
Practical Linear Models for Large-Scale One-Class Collaborative Filtering. IJCAI (2016)
Sheng Li, Nikos Vlassis, Jaya Kawale, Yun Fu
Matching via Dimensionality Reduction for Estimation of Treatment Effects in Digital Marketing Campaigns. IJCAI (2016)
Ehsan Amid, Nikos Vlassis, Manfred K. Warmuth
t-Exponential Triplet Embedding. CoRR (2016)
Nicolò Colombo, Nikos Vlassis
Approximate Joint Matrix Triangularization. CoRR (2016)
Nicolò Colombo, Nikos Vlassis
A posteriori error bounds for joint matrix decomposition problems. NIPS (2016)
Nicolò Colombo, Nikos Vlassis
Tensor Decomposition via Joint Matrix Schur Decomposition. ICML (2016)
Florian Bernard, Nikos Vlassis, Peter Gemmar, Andreas Husch, Johan Thunberg, Jorge M. Gonçalves, Frank Hertel
Fast correspondences for statistical shape models of brain structures. Medical Imaging: Image Processing (2016)
Nicolò Colombo, Nikos Vlassis
Stable Spectral Learning Based on Schur Decomposition. UAI (2015)
Nicolò Colombo, Nikos Vlassis
FastMotif: spectral sequence motif discovery. Bioinform. 31 (16) (2015)
Luis Salamanca, Nikos Vlassis, Nico Diederich, Florian Bernard, Alexander Skupin
Improved Parkinson's Disease Classification from Diffusion MRI Data by Fisher Vector Descriptors. MICCAI (2) (2015)
Nikos Vlassis, Raphaël M. Jungers
Polytopic uncertainty for linear systems: New and old complexity results. Syst. Control. Lett. 67 (2014)
Nicolò Colombo, Nikos Vlassis
Spectral Sequence Motif Discovery. CoRR (2014)
Ines Thiele, Nikos Vlassis, Ronan M. T. Fleming
fastGapFill: efficient gap filling in metabolic networks. Bioinform. 30 (17) (2014)
Nikos Vlassis, Maria Pires Pacheco, Thomas Sauter
Fast Reconstruction of Compact Context-Specific Metabolic Network Models. PLoS Comput. Biol. 10 (1) (2014)
Nikos Vlassis, Raphaël M. Jungers
Polytopic uncertainty for linear systems: New and old complexity results. CoRR (2013)
Nikos Vlassis, Maria Pires Pacheco, Thomas Sauter
Fast Reconstruction of Compact Context-Specific Metabolic Network Models CoRR (2013)
Nikos Vlassis, Michael L. Littman, David Barber
On the Computational Complexity of Stochastic Controller Optimization in POMDPs. ACM Trans. Comput. Theory 4 (4) (2012)
Nikos Vlassis
NP-hardness of polytope M-matrix testing and related problems CoRR (2012)
Nikos Vlassis, Michael L. Littman, David Barber
On the computational complexity of stochastic controller optimization in POMDPs CoRR (2011)
Nikos Vlassis, Marc Toussaint
Model-free reinforcement learning as mixture learning. ICML (2009)
Nikos Vlassis, Marc Toussaint, Georgios Kontes, Savas Piperidis
Learning model-free robot control by a Monte Carlo EM algorithm. Auton. Robots 27 (2) (2009)
Nikos Vlassis
Distributed Decision Making for Robot Teams. IDC (2007)