We have submitted Almost Sure Convergence of Dropout Algorithms for Neural Networks, and it is currently under review. This is joint work between Albert Senen-Cerda and myself.
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Tag: optimization
Reinforcement Learning in Block Markov Chains
On March 29th, 2019, Pascal Lagerweij defended his MSc thesis Reinforcement Learning in Block Markov Chains. His committee consisted of prof.dr.ir Piet Van Mieghem, dr. Matthijs Spaan, and myself (as daily supervisor). Pascal joined our research group Network Architectures and Services on May 22nd, 2018.
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Online network optimization using product-form Markov processes
We have submitted Online Network Optimization Using Product-Form Markov Processes, and it is currently under review. It is joint work between Jaron Sanders, Sem Borst, and Johan van Leeuwaarden.
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Online optimization of product-form networks
We presented Online optimization of product-form networks at Valuetools 2012, which is joint work between Jaron Sanders, Sem C. Borst and Johan S.H. van Leeuwaarden. You can read it here. Abstract We develop an online gradient algorithm for optimizing the performance of product-form networks through online adjustment of control parameters. The use of standard algorithms
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