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Representation Learning

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Papers

Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes AISTATS 2024
Testing Generated Distributions in GANs to Penalize Mode Collapse AISTATS 2024
Minimax optimal density estimation using a shallow generative model with a one-dimensional latent variable AISTATS 2024
A Unified Framework for Discovering Discrete Symmetries AISTATS 2024
Multi-Domain Causal Representation Learning via Weak Distributional Invariances AISTATS 2024
Graph Machine Learning through the Lens of Bilevel Optimization AISTATS 2024
Efficient Low-Dimensional Compression of Overparameterized Models AISTATS 2024
Filter, Rank, and Prune: Learning Linear Cyclic Gaussian Graphical Models AISTATS 2024
Quantized Fourier and Polynomial Features for more Expressive Tensor Network Models AISTATS 2024
Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted Trees AISTATS 2024
Intrinsic Gaussian Vector Fields on Manifolds AISTATS 2024
Importance Matching Lemma for Lossy Compression with Side Information AISTATS 2024
Estimation of partially known Gaussian graphical models with score-based structural priors AISTATS 2024
Learning Populations of Preferences via Pairwise Comparison Queries AISTATS 2024
Tuning-Free Maximum Likelihood Training of Latent Variable Models via Coin Betting AISTATS 2024
Extended Deep Adaptive Input Normalization for Preprocessing Time Series Data for Neural Networks AISTATS 2024
Learning Dynamics in Linear VAE: Posterior Collapse Threshold, Superfluous Latent Space Pitfalls, and Speedup with KL Annealing AISTATS 2024
GmGM: a fast multi-axis Gaussian graphical model AISTATS 2024
Learning Sparse Codes with Entropy-Based ELBOs AISTATS 2024
Solving General Noisy Inverse Problem via Posterior Sampling: A Policy Gradient Viewpoint AISTATS 2024
Monotone Operator Theory-Inspired Message Passing for Learning Long-Range Interaction on Graphs AISTATS 2024
Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers AISTATS 2024
Implicit Regularization in Deep Tucker Factorization: Low-Rankness via Structured Sparsity AISTATS 2024
Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels AISTATS 2024
An Impossibility Theorem for Node Embedding AISTATS 2024