Stochastic Algorithms: Foundations and Applications

- Invited Papers

- Scenario Reduction Techniques in Stochastic Programming

- Statistical Learning of Probabilistic BDDs

- Regular Contributions

- Learning Volatility of Discrete Time Series Using Prediction with Expert Advice

- Prediction of Long-Range Dependent Time Series Data with Performance Guarantee

- Bipartite Graph Representation of Multiple Decision Table Classifiers

- Bounds for Multistage Stochastic Programs Using Supervised Learning Strategies

- On Evolvability: The Swapping Algorithm, Product Distributions, and Covariance

- A Generic Algorithm for Approximately Solving Stochastic Graph Optimization Problems

- How to Design a Linear Cover Time Random Walk on a Finite Graph

- Propagation Connectivity of Random Hypergraphs

- Graph Embedding through Random Walk for Shortest Paths Problems

- Relational Properties Expressible with One Universal Quantifier Are Testable

- Theoretical Analysis of Local Search in Software Testing

- Firefly Algorithms for Multimodal Optimization

- Economical Caching with Stochastic Prices

- Markov Modelling of Mitochondrial BAK Activation Kinetics during Apoptosis

- Stochastic Dynamics of Logistic Tumor Growth