Silander, Tomi

18 publications

ICLR 2020 Improving the Generalization of Visual Navigation Policies Using Invariance Regularization Michel Aractingi, Christopher Dance, Julien Perez, Tomi Silander

ICMLW 2019 Improving the Generalization of Visual Navigation Policies Using Invariance Regularization Michel Aractingi, Christopher Dance, Julien Perez, Tomi Silander

JMLR 2019 Optimal Policies for Observing Time Series and Related Restless Bandit Problems Christopher R. Dance, Tomi Silander

ALT 2018 Minimax Optimal Bayes Mixtures for Memoryless Sources over Large Alphabets Elias Jääsaari, Janne Leppä-aho, Tomi Silander, Teemu Roos

AISTATS 2018 Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures Tomi Silander, Janne Leppä-aho, Elias Jääsaari, Teemu Roos

NeurIPS 2015 When Are Kalman-Filter Restless Bandits Indexable? Christopher R Dance, Tomi Silander

ICML 2013 Online Feature Selection for Model-Based Reinforcement Learning Trung Nguyen, Zhuoru Li, Tomi Silander, Tze Yun Leong

NeurIPS 2012 Transferring Expectations in Model-Based Reinforcement Learning Trung Nguyen, Tomi Silander, Tze Y. Leong

AISTATS 2009 Locally Minimax Optimal Predictive Modeling with Bayesian Networks Tomi Silander, Teemu Roos, Petri Myllymäki

UAI 2008 A Bayesian Approach to Learning in Fault Isolation Hannes Wettig, Anna Pernestål, Tomi Silander, Mattias Nyberg

UAI 2007 On Sensitivity of the MAP Bayesian Network Structure to the Equivalent Sample Size Parameter Tomi Silander, Petri Kontkanen, Petri Myllymäki

UAI 2006 A Simple Approach for Finding the Globally Optimal Bayesian Network Structure Tomi Silander, Petri Myllymäki

UAI 1999 On Supervised Selection of Bayesian Networks Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri

ECML-PKDD 1998 Batch Classification with Discrete Finite Mixtures Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri

ECML-PKDD 1998 Bayes Optimal Instance-Based Learning Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri

ECML-PKDD 1998 Bayesian and Information-Theories Priors for Bayesian Network Parameters Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri, Peter Grünwald

UAI 1998 Minimum Encoding Approaches for Predictive Modeling Peter Grünwald, Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri

AISTATS 1997 Comparing Predictive Inference Methods for Discrete Domains Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri, Peter Grünwald