Optimism in Sequential Decision-Making under Uncertainty Peter Bartlett Department of Statistics and Division of Computer Science UC Berkeley

Source URL: www.stat.berkeley.edu

• Mathematical analysis
• Dynamic programming
• Markov processes
• Stochastic control
• Statistical inference
• Analysis
• Operations research
• Markov decision process
• Regret
• Distribution
• S0
• Mathematical optimization

Stat 260/CSLearning in Sequential Decision Problems. Peter Bartlett 1. Recall: MDPs. 2. Value iteration. 3. Policy iteration.

Source URL: www.stat.berkeley.edu

• Markov processes
• Mathematics
• Probability theory
• Mathematical analysis
• Dynamic programming
• Markov decision process
• Stochastic control
• Markov chain
• Mathematical optimization
• Distribution

Load Balancing and Density Dependent Jump Markov Processes EXTENDED ABSTRACT Michael Mitzenmacher  Department of Computer Science U.C. Berkeley

Source URL: www.eecs.harvard.edu

• Probability theory
• Stochastic processes
• Probability
• Mathematical analysis
• Markov processes
• Markov models
• Queueing theory
• Network performance
• Markov chain
• Dynamical system
• Expected value
• Normal distribution

Stochastic approximation of score functions for Gaussian processes

Source URL: arxiv.org

• Statistics
• Estimation theory
• Statistical theory
• Algebra of random variables
• M-estimators
• Maximum likelihood estimation
• Fisher information
• Covariance
• Multivariate random variable
• Matrix
• Variance
• Estimation of covariance matrices

Stat 260/CSLearning in Sequential Decision Problems. Peter Bartlett 1. Markov decision processes and partially observable Markov decision processes. 2. Value functions, Q functions.

Source URL: www.stat.berkeley.edu

• Markov processes
• Dynamic programming
• Probability theory
• Stochastic control
• Mathematical analysis
• Probability
• Markov models
• Markov decision process
• Mathematical optimization
• Markov chain
• Bellman equation
• X0

Dirichlet labeling and hierarchical processes for clustering functional data XuanLong Nguyen Department of Statistics University of Michigan

Source URL: dept.stat.lsa.umich.edu

• Cluster analysis
• Geostatistics
• Stochastic processes
• Data mining
• Image segmentation
• Dirichlet process
• Mixture model
• Correlation clustering

On stochastic completeness of symmetric jump processes Xueping Huang Universit¨at Bielefeld We discuss a volume growth type criterion for stochastic completeness of symmetric jump processes on metric measure spaces: if

Source URL: icsaa.iam.uni-bonn.de

Hierarchical Dirichlet Scaling Process Dongwoo Kim KAIST, Daejeon, Korea DW. KIM @ KAIST. AC . KR

Source URL: jmlr.org

• Statistics
• Probability
• Statistical theory
• Statistical natural language processing
• Probability distributions
• Stochastic processes
• Latent Dirichlet allocation
• Hierarchical Dirichlet process
• Topic model
• Dirichlet process
• Dirichlet distribution
• Mixture model

Deterministic MDPs with Adversarial Rewards and Bandit Feedback Raman Arora TTIC 6045 S. Kenwood Ave. Chicago, IL 60637, USA

Source URL: dept.stat.lsa.umich.edu

• Markov models
• Markov processes
• Stochastic optimization
• Mathematical optimization
• Operations research
• Reinforcement learning
• Markov decision process
• Algorithm
• Multi-armed bandit
• Dynamic programming
• Shortest path problem
• PP

Ann Inst Stat Math:1–24 DOIs10463Intrinsically weighted means and non-ergodic marked point processes Alexander Malinowski · Martin Schlather ·

Source URL: www.ism.ac.jp

• Ergodic theory
• Stochastic processes
• Statistics
• Signal processing
• Analysis
• Ergodic process
• Ergodicity
• Ergodic
• Weighting
• Probability and statistics