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AISTATS 2019

Models and Methods

  • Bayesian methods

  • Boosting

  • Causality

  • Compressed sensing, sparse coding

  • Deep learning

  • Ensemble methods

  • Fairness

  • Feature selection

  • Frequentist methods (Maximum likelihood)

  • Gaussian processes

  • Graphical models

  • Kernel methods

  • Learning theory

  • Learning on graphs

  • Large margin methods

  • Logic and probability

  • Information geometry

  • Information theory

  • Matrix and tensor factorization

  • Manifold learning, nonlinear embedding

  • Model selection

  • Nonparametric models

  • Online learning

  • Privacy

  • Representation, structure learning

  • Robustness

  • Sampling

  • Spatial models

  • Spectral methods

  • Stochastic processes

  • Time series and sequence models

Problem types

Supervised learning

  • Active learning

  • Classification

  • Prediction with missing data

  • Regression

  • Structured prediction

Unsupervised and semi-supervised learning

  • Clustering

  • Density estimation

  • Dimension reduction

  • Latent variable models

  • Topic models

Decision-making and control

  • Control theory

  • Decision theory

  • Game theory

  • Mechanism design

  • Multi-agent systems

  • No-regret learning

  • Planning

  • Reinforcement learning

Algorithms and applications

Optimization and computation methods

  • Combinatorial optimization

  • Convex optimization

  • Gradient-based optimization

  • Monte Carlo methods

  • Numerical methods

Systems and software

  • High performance architectures

  • Large-scale learning systems

  • Parallel and distributed algorithms

  • Software packages

Applications

  • Biology and genomics

  • Brain computer interfaces

  • Cognitive science

  • Collaborative filtering, recommendation systems

  • Computer vision

  • Data visualization

  • Economics and finance

  • Image processing

  • Informatics

  • Information retrieval

  • Medical imaging

  • Natural language processing, text mining

  • Network data analysis

  • Neuroscience

  • Robotics

  • Scientific computing, data analysis

  • Signal processing

  • Statistical databases

  • World wide web, search