Vlassis, Nikos

26 publications

AAAI 2024 Distributional Off-Policy Evaluation for Slate Recommendations Shreyas Chaudhari, David Arbour, Georgios Theocharous, Nikos Vlassis

NeurIPS 2021 Control Variates for Slate Off-Policy Evaluation Nikos Vlassis, Ashok Chandrashekar, Fernando Amat, Nathan Kallus

IJCAI 2019 Marginal Posterior Sampling for Slate Bandits Maria Dimakopoulou, Nikos Vlassis, Tony Jebara

ICML 2019 More Efficient Off-Policy Evaluation Through Regularized Targeted Learning Aurelien Bibaut, Ivana Malenica, Nikos Vlassis, Mark Van Der Laan

ICML 2019 On the Design of Estimators for Bandit Off-Policy Evaluation Nikos Vlassis, Aurelien Bibaut, Maria Dimakopoulou, Tony Jebara

AISTATS 2019 Optimizing over a Restricted Policy Class in MDPs Ershad Banijamali, Yasin Abbasi-Yadkori, Mohammad Ghavamzadeh, Nikos Vlassis

NeurIPS 2018 Scalar Posterior Sampling with Applications Georgios Theocharous, Zheng Wen, Yasin Abbasi Yadkori, Nikos Vlassis

NeurIPS 2016 A Posteriori Error Bounds for Joint Matrix Decomposition Problems Nicolo Colombo, Nikos Vlassis

IJCAI 2016 Matching via Dimensionality Reduction for Estimation of Treatment Effects in Digital Marketing Campaigns Sheng Li, Nikos Vlassis, Jaya Kawale, Yun Fu

IJCAI 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

ICML 2016 Tensor Decomposition via Joint Matrix Schur Decomposition Nicolo Colombo, Nikos Vlassis

UAI 2015 Stable Spectral Learning Based on Schur Decomposition Nicolò Colombo, Nikos Vlassis

ICML 2009 Model-Free Reinforcement Learning as Mixture Learning Nikos Vlassis, Marc Toussaint

ECML-PKDD 2008 Multiagent Reinforcement Learning for Urban Traffic Control Using Coordination Graphs Lior Kuyer, Shimon Whiteson, Bram Bakker, Nikos Vlassis

JAIR 2008 Optimal and Approximate Q-Value Functions for Decentralized POMDPs Frans A. Oliehoek, Matthijs T. J. Spaan, Nikos Vlassis

NeurIPS 2006 Accelerated Variational Dirichlet Process Mixtures Kenichi Kurihara, Max Welling, Nikos Vlassis

ICML 2006 An Analytic Solution to Discrete Bayesian Reinforcement Learning Pascal Poupart, Nikos Vlassis, Jesse Hoey, Kevin Regan

JMLR 2006 Collaborative Multiagent Reinforcement Learning by Payoff Propagation Jelle R. Kok, Nikos Vlassis

AAAI 2006 Improving Approximate Value Iteration Using Memories and Predictive State Representations Michael R. James, Ton Wessling, Nikos Vlassis

JMLR 2006 Point-Based Value Iteration for Continuous POMDPs Josep M. Porta, Nikos Vlassis, Matthijs T.J. Spaan, Pascal Poupart

JAIR 2005 Perseus: Randomized Point-Based Value Iteration for POMDPs Matthijs T. J. Spaan, Nikos Vlassis

NeurIPS 2004 Newscast EM Wojtek Kowalczyk, Nikos Vlassis

ICML 2004 Sparse Cooperative Q-Learning Jelle R. Kok, Nikos Vlassis

NeCo 2003 Efficient Greedy Learning of Gaussian Mixture Models Jakob J. Verbeek, Nikos Vlassis, Ben J. A. Kröse

NeurIPS 2003 Non-Linear CCA and PCA by Alignment of Local Models Jakob J. Verbeek, Sam T. Roweis, Nikos Vlassis

NeCo 2002 Supervised Dimension Reduction of Intrinsically Low-Dimensional Data Nikos Vlassis, Yoichi Motomura, Ben J. A. Kröse