conftrace_

metric space

87 papers

Explore in graph

Co-occurring keywords

nearest neighbor (218) approximation algorithm (630) metric learning (1190) regret bound (1926) multi-armed bandit (1098) sample compression (32) nonparametric regression (111) optimal transport (948) manifold learning (403) representation learning (6206)

Papers

Coarse-Grained Smoothness for Reinforcement Learning in Metric Spaces AISTATS 2023
Balancing utility and scalability in metric differential privacy UAI 2022
On the Complexity of Calculating Approval-Based Winners in Candidates-Embedded Metrics IJCAI 2022
Individual Preference Stability for Clustering ICML 2022
Noise Is Also Useful: Negative Correlation-Steered Latent Contrastive Learning CVPR 2022
Complexity of Deliberative Coalition Formation AAAI 2022
Learning with metric losses COLT 2022
Refined Lower Bounds for Nearest Neighbor Condensation ALT 2022
Smoothed Embeddings for Certified Few-Shot Learning NIPS 2022
Universal consistency and rates of convergence of multiclass prototype algorithms in metric spaces JMLR 2021
Consistency of Gaussian Process Regression in Metric Spaces JMLR 2021
Private Release of Text Embedding Vectors NAACL 2021
Condorcet Relaxation In Spatial Voting AAAI 2021
Differentially Private Clustering via Maximum Coverage AAAI 2021
Center Smoothing: Certified Robustness for Networks with Structured Outputs NIPS 2021
Exact Recovery of Clusters in Finite Metric Spaces Using Oracle Queries COLT 2021
Functions with average smoothness: structure, algorithms, and learning COLT 2021
A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces AISTATS 2021
Efficient Online Learning for Dynamic k-Clustering ICML 2021
Metrics and Continuity in Reinforcement Learning AAAI 2021
Dynamic Metric Learning: Towards a Scalable Metric Space To Accommodate Multiple Semantic Scales CVPR 2021
Hierarchical Clustering in General Metric Spaces using Approximate Nearest Neighbors AISTATS 2021
On the Consistency of Metric and Non-Metric K-Medoids AISTATS 2021
On Metric DBSCAN with Low Doubling Dimension IJCAI 2020
Provably adaptive reinforcement learning in metric spaces NIPS 2020