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Representation Learning

20,822 papers

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Papers

Mixed variational flows for discrete variables AISTATS 2024
Multi-Resolution Active Learning of Fourier Neural Operators AISTATS 2024
Functional Graphical Models: Structure Enables Offline Data-Driven Optimization AISTATS 2024
Learning Cartesian Product Graphs with Laplacian Constraints AISTATS 2024
Maximum entropy GFlowNets with soft Q-learning AISTATS 2024
Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts AISTATS 2024
End-to-end Feature Selection Approach for Learning Skinny Trees AISTATS 2024
Multi-Level Symbolic Regression: Function Structure Learning for Multi-Level Data AISTATS 2024
Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods AISTATS 2024
Faithful graphical representations of local independence AISTATS 2024
Euclidean, Projective, Conformal: Choosing a Geometric Algebra for Equivariant Transformers AISTATS 2024
Causally Inspired Regularization Enables Domain General Representations AISTATS 2024
SDMTR: A Brain-inspired Transformer for Relation Inference AISTATS 2024
Directed Hypergraph Representation Learning for Link Prediction AISTATS 2024
Training a Tucker Model With Shared Factors: a Riemannian Optimization Approach AISTATS 2024
Identifiable Feature Learning for Spatial Data with Nonlinear ICA AISTATS 2024
DiffRed: Dimensionality reduction guided by stable rank AISTATS 2024
On learning history-based policies for controlling Markov decision processes AISTATS 2024
Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation AISTATS 2024
Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond Closed-Form Equations AISTATS 2024
On the estimation of persistence intensity functions and linear representations of persistence diagrams AISTATS 2024
Approximate Bayesian Class-Conditional Models under Continuous Representation Shift AISTATS 2024
Inconsistency of Cross-Validation for Structure Learning in Gaussian Graphical Models AISTATS 2024
On the Nyström Approximation for Preconditioning in Kernel Machines AISTATS 2024
Manifold-Aligned Counterfactual Explanations for Neural Networks AISTATS 2024