Research map / Learning theory and algorithms / Kernels and regression theory
Minimax Optimal Alternating Minimization for Kernel Nonparametric Tensor Learning
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use AMP instead of Bayesian GP-MTL | Alternating minimization (AMP) kernel tensor learning · Restaurant & Consumer data | MSE | No clear effect |
| use AMP instead of Bayesian GP-MTL | Alternating minimization (AMP) kernel tensor learning · Online shopping data | MSE | Mixed |
Closest papers by meaning
- Gaussian process nonparametric tensor estimator and its minimax optimality (ICML 2016 · similarity 0.89)
- On Tensor Train Rank Minimization : Statistical Efficiency and Scalable Algorithm (NeurIPS 2017 · similarity 0.88)
- Tensor Completion Made Practical (NeurIPS 2020 · similarity 0.87)
- Local and Global Convergence of General Burer-Monteiro Tensor Optimizations (AAAI 2022 · similarity 0.87)
- SPALS: Fast Alternating Least Squares via Implicit Leverage Scores Sampling (NeurIPS 2016 · similarity 0.87)
- Efficient Leverage Score Sampling for Tensor Train Decomposition (NeurIPS 2024 · similarity 0.85)
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