metric space

Random Forest Weighted Local Fréchet Regression with Random Objects JMLR 2024 Reconstructing the Geometry of Random Geometric Graphs (Extended Abstract) COLT 2024 SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities CVPR 2024 Coarse-Grained Smoothness for Reinforcement Learning in Metric Spaces AISTATS 2023 Diffusion Probabilistic Fields ICLR 2023 Diversity Maximization in the Presence of Outliers AAAI 2023 Fast Algorithms for a New Relaxation of Optimal Transport COLT 2023 Fully Dynamic $k$-Clustering in $\tilde O(k)$ Update Time NeurIPS 2023 Geodesically convex M-estimation in metric spaces COLT 2023 Geometry-Aware Adaptation for Pretrained Models NeurIPS 2023 Representational Dissimilarity Metric Spaces for Stochastic Neural Networks ICLR 2023 Switchable Representation Learning Framework With Self-Compatibility CVPR 2023 TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation ACL 2023 Tight and fast generalization error bound of graph embedding in metric space ICML 2023 Balancing utility and scalability in metric differential privacy UAI 2022 Complexity of Deliberative Coalition Formation AAAI 2022 Individual Preference Stability for Clustering ICML 2022 Learning with metric losses COLT 2022 Noise Is Also Useful: Negative Correlation-Steered Latent Contrastive Learning CVPR 2022 On the Complexity of Calculating Approval-Based Winners in Candidates-Embedded Metrics IJCAI 2022 Refined Lower Bounds for Nearest Neighbor Condensation ALT 2022 Smoothed Embeddings for Certified Few-Shot Learning NeurIPS 2022 A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces AISTATS 2021 Center Smoothing: Certified Robustness for Networks with Structured Outputs NeurIPS 2021 Condorcet Relaxation In Spatial Voting AAAI 2021