Pages that link to "Item:Q65939"
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The following pages link to Foundations and Trends® in Machine Learning (Q65939):
Displaying 50 items.
- Computational Optimal Transport: With Applications to Data Science (Q65942) (← links)
- Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers (Q122993) (← links)
- Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions (Q2988016) (← links)
- Patterns of Scalable Bayesian Inference (Q2988018) (← links)
- Dimension Reduction: A Guided Tour (Q3062980) (← links)
- Randomized Algorithms for Matrices and Data (Q3117600) (← links)
- An Introduction to Deep Reinforcement Learning (Q3122098) (← links)
- Online Learning and Online Convex Optimization (Q3166527) (← links)
- An Introduction to Conditional Random Fields (Q3166528) (← links)
- Adaptation, Learning, and Optimization over Networks (Q3190359) (← links)
- Learning Deep Architectures for AI (Q3404182) (← links)
- A Survey of Statistical Network Models (Q3569376) (← links)
- Graphical Models, Exponential Families, and Variational Inference (Q3580906) (← links)
- Learning Representation and Control in Markov Decision Processes: New Frontiers (Q3580907) (← links)
- A Tutorial on Thompson Sampling (Q4556183) (← links)
- Kernel Mean Embedding of Distributions: A Review and Beyond (Q4593744) (← links)
- Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2 Applications and Future Perspectives (Q4593746) (← links)
- An Introduction to Wishart Matrix Moments (Q4626922) (← links)
- Non-convex Optimization for Machine Learning (Q4643371) (← links)
- Explaining the Success of Nearest Neighbor Methods in Prediction (Q4682659) (← links)
- Theory of Disagreement-Based Active Learning (Q4982575) (← links)
- Explicit-Duration Markov Switching Models (Q4982595) (← links)
- Advances and Open Problems in Federated Learning (Q5012283) (← links)
- Spectral Methods for Data Science: A Statistical Perspective (Q5015834) (← links)
- Machine Learning for Automated Theorem Proving: Learning to Solve SAT and QSAT (Q5026334) (← links)
- Data Analytics on Graphs Part I: Graphs and Spectra on Graphs (Q5094176) (← links)
- Data Analytics on Graphs Part II: Signals on Graphs (Q5094177) (← links)
- Data Analytics on Graphs Part III: Machine Learning on Graphs, from Graph Topology to Applications (Q5094178) (← links)
- Risk-Sensitive Reinforcement Learning via Policy Gradient Search (Q5102286) (← links)
- Divided Differences, Falling Factorials, and Discrete Splines: Another Look at Trend Filtering and Related Problems (Q5102287) (← links)
- Tensor Regression (Q5164112) (← links)
- Minimum-Distortion Embedding (Q5164113) (← links)
- A Tutorial on Linear Function Approximators for Dynamic Programming and Reinforcement Learning (Q5168383) (← links)
- From Bandits to Monte-Carlo Tree Search: The Optimistic Principle Applied to Optimization and Planning (Q5168384) (← links)
- A Survey of Statistical Network Models (Q5190072) (← links)
- Introduction to Multi-Armed Bandits (Q5213200) (← links)
- Elements of Sequential Monte Carlo (Q5213202) (← links)
- An Introduction to Variational Autoencoders (Q5213204) (← links)
- Spectral Learning on Matrices and Tensors (Q5213205) (← links)
- Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems (Q5396763) (← links)
- Learning with Submodular Functions: A Convex Optimization Perspective (Q5396766) (← links)
- An Introduction to Matrix Concentration Inequalities (Q5499661) (← links)
- Graph Kernels: State-of-the-Art and Future Challenges (Q5855379) (← links)
- Dynamical Variational Autoencoders: A Comprehensive Review (Q5863990) (← links)
- Learning in Repeated Auctions (Q5863991) (← links)
- A Unifying Tutorial on Approximate Message Passing (Q5863992) (← links)
- Model-based Reinforcement Learning: A Survey (Q5870792) (← links)
- Graph Neural Networks for Natural Language Processing: A Survey (Q5885996) (← links)
- Introduction to Riemannian Geometry and Geometric Statistics: From Basic Theory to Implementation with Geomstats (Q5885997) (← links)
- Conformal Prediction: A Gentle Introduction (Q5885998) (← links)
