conftrace_

random projection

145 papers

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Also known as

RP

Co-occurring keywords

dimensionality reduction (720) dimension reduction (120) kernel methods (1097) compressive sensing (126) compressed sensing (201) high-dimensional datum (158) nearest neighbor search (186) generalization error (285) cosine similarity (152) support vector machine (978)

Papers

Ultra-Low-Dimensional Prompt Tuning via Random Projection EACL 2026
ECPv2: Fast, Efficient, and Scalable Global Optimization of Lipschitz Functions AAAI 2026
Randomly Projected Convex Clustering Model: Motivation, Realization, and Cluster Recovery Guarantees JMLR 2025
Generalization Bound and Learning Methods for Data-Driven Projections in Linear Programming NIPS 2024
Scalable DBSCAN with Random Projections NIPS 2024
A Random Projection Approach to Personalized Federated Learning: Enhancing Communication Efficiency, Robustness, and Fairness JMLR 2024
Optimization Can Learn Johnson Lindenstrauss Embeddings NIPS 2024
DiffRed: Dimensionality reduction guided by stable rank AISTATS 2024
Efficient Learning of PDEs via Taylor Expansion and Sparse Decomposition into Value and Fourier Domains AAAI 2024
An Asymptotic Study of Discriminant and Vote-Averaging Schemes for Randomly-Projected Linear Discriminants JMLR 2024
Euclidean distance compression via deep random features NIPS 2024
RanDumb: Random Representations Outperform Online Continually Learned Representations NIPS 2024
Correlation Aware Sparsified Mean Estimation Using Random Projection NIPS 2023
Estimating Koopman operators with sketching to provably learn large scale dynamical systems NIPS 2023
Adversarial Robustness via Random Projection Filters CVPR 2023
RanPAC: Random Projections and Pre-trained Models for Continual Learning NIPS 2023
Robust and Fast Measure of Information via Low-Rank Representation AAAI 2023
TRAK: Attributing Model Behavior at Scale ICML 2023
Improved Bound on Generalization Error of Compressed KNN Estimator AISTATS 2023
Block Subsampled Randomized Hadamard Transform for Nyström Approximation on Distributed Architectures ICML 2023
Torchhd: An Open Source Python Library to Support Research on Hyperdimensional Computing and Vector Symbolic Architectures JMLR 2023
Complex-to-Real Sketches for Tensor Products with Applications to the Polynomial Kernel AISTATS 2023
Jointly Reparametrized Multi-Layer Adaptation for Efficient and Private Tuning ACL 2023
Fast Optimal Locally Private Mean Estimation via Random Projections NIPS 2023
Randomized Spectral Co-Clustering for Large-Scale Directed Networks JMLR 2023