| 2023 | GECCO | Comparison of MCMC Adaptation Schemes: A Preliminary Empirical Study. | Bowen Liu, Edna Milgo, Nixon K. Ronoh, Bernard Manderick |
| 2022 | GECCO | Natural gradient evolution strategies for adaptive sampling. | Nixon K. Ronoh, Edna Milgo, Ambrose K. Kiprop, Bernard Manderick, Ann Now |
| 2017 | ESANN | Comparison of adaptive MCMC methods. | Edna Milgo, Nixon K. Ronoh, Peter Waiganjo Wagacha, Bernard Manderick |
| 2017 | GECCO | Adaptiveness of CMA based samplers. | Edna Milgo, Nixon K. Ronoh, Peter Waiganjo, Bernard Manderick |
| 2016 | GECCO | Schemata Bandits for MAXSAT. | Nixon K. Ronoh, Edna Milgo, Ambrose K. Kiprop, Bernard Manderick |
| 2015 | CEC | Annealing linear scalarized based multi-objective multi-armed bandit algorithm. | Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick |
| 2015 | ESANN | Bernoulli bandits: an empirical comparison. | Nixon K. Ronoh, Reuben Odoyo, Edna Milgo, Madalina M. Drugan, Bernard Manderick |
| 2015 | ESANN | Thompson Sampling for Multi-Objective Multi-Armed Bandits Problem. | Saba Q. Yahyaa, Bernard Manderick |
| 2015 | ICAART | Exploration Versus Exploitation Trade-off in Infinite Horizon Pareto Multi-armed Bandits Algorithms. | Madalina M. Drugan, Bernard Manderick |
| 2015 | ICAART | Thompson Sampling in the Adaptive Linear Scalarized Multi Objective Multi Armed Bandit. | Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick |
| 2014 | ESANN | Linear Scalarized Knowledge Gradient in the Multi-Objective Multi-Armed Bandits Problem. | Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick |
| 2014 | GECCO | Evolution of honest signaling by social punishment. | David Catteeuw, The Anh Han, Bernard Manderick |
| 2014 | ICAART | Knowledge Gradient for Multi-objective Multi-armed Bandit Algorithms. | Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick |
| 2014 | ICAART | Online Knowledge Gradient Exploration in an Unknown Environment. | Saba Q. Yahyaa, Bernard Manderick |
| 2014 | ICAART | Knowledge Gradient for Online Reinforcement Learning. | Saba Q. Yahyaa, Bernard Manderick |
| 2014 | IJCNN | The scalarized multi-objective multi-armed bandit problem: An empirical study of its exploration vs. exploitation tradeoff. | Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick |
| 2013 | CEC | Evolutionary stability of honest signaling in finite populations. | David Catteeuw, Bernard Manderick, The Anh Han |
| 2013 | ICAART | Game Theory and Learning at the Medium Access Control Layer for Distributed Radio Resource Sharing in Random Access Wireless Networks. | Eric Ayienga, Elisha Opiyo, Bernard Manderick, Okelo Odongo |
| 2013 | ICAART | Empirical Evaluation of Shortest Path Gaussian Kernels over State Action Graphs. | Saba Q. Yahyaa, Bernard Manderick |
| 2013 | ICAART | Knowledge Gradient Exploration in Online Least Squares Policy Iteration. | Saba Q. Yahyaa, Bernard Manderick |
| 2012 | ESANN | The Exploration vs Exploitation Trade-Off in Bandit Problems: An Empirical Study. | Bernard Manderick, Saba Q. Yahyaa |
| 2009 | GECCO | Learning in the time-dependent minority game. | David Catteeuw, Bernard Manderick |
| 2007 | ECSQARU | Causal Graphical Models with Latent Variables: Learning and Inference. | Stijn Meganck, Philippe Leray, Bernard Manderick |
| 2006 | MDAI | Learning Causal Bayesian Networks from Observations and Experiments: A Decision Theoretic Approach. | Stijn Meganck, Philippe Leray, Bernard Manderick |
| 2005 | EUMAS | A Learning Algorithm for Multi-Agent Causal Models. | Stijn Meganck, Sam Maes, Bernard Manderick, Philippe Leray |
| 2005 | FlAIRS | Identification in Chain Multi-Agent Causal Models. | Sam Maes, Stijn Meganck, Bernard Manderick |
| 2005 | ICMLC | Context-Sensitive Kernel Functions: A Distance Function Viewpoint. | Bram Vanschoenwinkel, Feng Liu, Bernard Manderick |
| 2004 | ICMLA | Substitution matrix based kernel functions for protein secondary structure prediction. | Bram Vanschoenwinkel, Bernard Manderick |
| 2003 | IJCAI | A Weighted Polynomial Information Gain Kernel for Resolving Prepositional Phrase Attachment Ambiguities with Support Vector Machines. | Bram Vanschoenwinkel, Bernard Manderick |
| 2002 | GECCO | An Individual-based Approach To Multi-level Selection. | Tom Lenaerts, Anne Defaweux, Piet van Remortel, Bernard Manderick |
| 2002 | GECCO | Evaluation of a Simple Multi-Level Selection Model. | Tom Lenaerts, Anne Defaweux, Piet van Remortel, Bernard Manderick |
| 2002 | ICMLA | Q-Learning in Simulated Robotic Soccer - Large State Spaces and Incomplete Information. | Karl Tuyls, Sam Maes, Bernard Manderick |
| 2002 | RoboCup | Reinforcement Learning in Large State Spaces. | Karl Tuyls, Sam Maes, Bernard Manderick |
| 1998 | EUROGP | Building a Genetic Programming Framework: The Added-Value of Design Patterns. | Tom Lenaerts, Bernard Manderick |
| 1994 | PPSN | Applying Evolvable Hardware to Autonomous Agents. | Tetsuya Higuchi, Hitoshi Iba, Bernard Manderick |
| 1994 | PPSN | The Weighted Graph Bi-Partitioning Problem: A Look at GA Performance. | Hiroaki Inayoshi, Bernard Manderick |
| 1990 | PPSN | Selectionist Categorization. | Bernard Manderick |