dimensionality reduction

Dimensionality Reduction and Prioritized Exploration for Policy Search AISTATS 2022 Distributionally Robust Fair Principal Components via Geodesic Descents ICLR 2022 DP-PCA: Statistically Optimal and Differentially Private PCA NeurIPS 2022 Efficient learning of sparse and decomposable PDEs using random projection UAI 2022 Extracting computational mechanisms from neural data using low-rank RNNs NeurIPS 2022 Fast and Efficient MMD-Based Fair PCA via Optimization over Stiefel Manifold AAAI 2022 Gaussian Mixture Convolution Networks ICLR 2022 Generalised GPLVM with Stochastic Variational Inference AISTATS 2022 Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction CVPR 2022 Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects AISTATS 2022 Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel (Extended Abstract) IJCAI 2022 Knowledge Base Index Compression via Dimensionality and Precision Reduction ACL 2022 Learning Canonical F-Correlation Projection for Compact Multiview Representation CVPR 2022 Learning Contrastive Embedding in Low-Dimensional Space NeurIPS 2022 Multi-Dimensional, Nuanced and Subjective - Measuring the Perception of Facial Expressions CVPR 2022 Nested Hyperbolic Spaces for Dimensionality Reduction and Hyperbolic NN Design CVPR 2022 Neural Fisher Discriminant Analysis: Optimal Neural Network Embeddings in Polynomial Time ICML 2022 Neural PCA for Flow-Based Representation Learning IJCAI 2022 Noisy L0-sparse subspace clustering on dimensionality reduced data UAI 2022 Non-Euclidean Self-Organizing Maps IJCAI 2022 On a Connection Between Fast and Sparse Oblivious Subspace Embeddings AISTATS 2022 On the Robustness of CountSketch to Adaptive Inputs ICML 2022 Partial Multi-Label Learning via Large Margin Nearest Neighbour Embeddings AAAI 2022 Quaternion Ordinal Embedding IJCAI 2022 Random Mapping Method for Large-Scale Terrain Modeling AAAI 2022