Research map / Learning theory and algorithms / Kernels and regression theory
Nonparametric Canonical Correlation Analysis
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use density-based nonparametric CCA instead of kernel CCA | NCCA versus NKCCA · XRMB JW11-s test | total canonical correlation: 105.6 -> 107.9 | Helped |
| Use density-based nonparametric CCA instead of deep CCA | NCCA versus DCCA · XRMB JW11-s test | run time (sec): 10044.0 -> 69.4 + 79.0 | Helped |
| Use density-based nonparametric CCA instead of deep CCA | NCCA versus DCCA · Noisy MNIST projected test | clustering accuracy (%): 99.1 -> 99.2 | No clear effect |
| Use density-based nonparametric CCA instead of deep CCA | NCCA versus DCCA · Noisy MNIST projected test | classification error (%): 0.9 -> 0.7 | Helped |
| Use a partially linear projection rather than fully nonparametric projections | PLCCA · XRMB JW11-s test | total canonical correlation: 107.9 -> 79.4 | Hurt |
| Use a partially linear projection rather than fully nonparametric projections | PLCCA · Noisy MNIST projected test | clustering accuracy (%): 99.2 -> 98.4 | Hurt |
| Use a partially linear projection rather than fully nonparametric projections | PLCCA · Noisy MNIST projected test | classification error (%): 0.7 -> 1.3 | Hurt |
| Train NCCA with a 50K subset rather than the 450K training set (ablation) | NCCA · Noisy MNIST | classification error (%): 0.7 -> 4.7 | Hurt |
Closest papers by meaning
- L0-Sparse Canonical Correlation Analysis (ICLR 2022 · similarity 0.90)
- Unpaired Canonical Correlation Analysis (NeurIPS 2026 · similarity 0.89)
- Bilinear Probabilistic Canonical Correlation Analysis via Hybrid Concatenations (AAAI 2017 · similarity 0.89)
- Unconstrained Stochastic CCA: Unifying Multiview and Self-Supervised Learning (ICLR 2024 · similarity 0.89)
- On Sparse Canonical Correlation Analysis (NeurIPS 2024 · similarity 0.89)
- Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization (NeurIPS 2024 · similarity 0.85)
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