conftrace_

Representation Learning

20,822 papers

Papers per year

2
9
101
309
2011
2283
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Papers

Density Ratio Estimation via Infinitesimal Classification AISTATS 2022
Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Completion AISTATS 2022
Sampling from Arbitrary Functions via PSD Models AISTATS 2022
Uncertainty Quantification for Bayesian Optimization AISTATS 2022
Fast Rank-1 NMF for Missing Data with KL Divergence AISTATS 2022
On PAC-Bayesian reconstruction guarantees for VAEs AISTATS 2022
On the Generalization of Representations in Reinforcement Learning AISTATS 2022
Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects AISTATS 2022
Adaptive Gaussian Processes on Graphs via Spectral Graph Wavelets AISTATS 2022
Bayesian Link Prediction with Deep Graph Convolutional Gaussian Processes AISTATS 2022
On the Interplay between Information Loss and Operation Loss in Representations for Classification AISTATS 2022
Resampling Base Distributions of Normalizing Flows AISTATS 2022
Wide Mean-Field Bayesian Neural Networks Ignore the Data AISTATS 2022
TD-GEN: Graph Generation Using Tree Decomposition AISTATS 2022
Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge AISTATS 2022
The Tree Loss: Improving Generalization with Many Classes AISTATS 2022
Node Feature Kernels Increase Graph Convolutional Network Robustness AISTATS 2022
Provable Lifelong Learning of Representations AISTATS 2022
Iterative Alignment Flows AISTATS 2022
Entrywise Recovery Guarantees for Sparse PCA via Sparsistent Algorithms AISTATS 2022
On the equivalence of Oja’s algorithm and GROUSE AISTATS 2022
Neural score matching for high-dimensional causal inference AISTATS 2022
Warping Layer: Representation Learning for Label Structures in Weakly Supervised Learning AISTATS 2022
Dropout as a Regularizer of Interaction Effects AISTATS 2022
Mode estimation on matrix manifolds: Convergence and robustness AISTATS 2022