![Balancing Tensor Train Decomposition Factors Through Regularization](../../wp-content/uploads/2024/01/2401.02592-400x200.png)
Category: Statistics
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![Balancing Tensor Train Decomposition Factors Through Regularization](../../wp-content/uploads/2024/01/2401.02592-400x200.png)
![Dimensionality Reduction for Multivariate Vector-Valued Functions with Shared Active Subspace](../../wp-content/uploads/2024/01/2401.02735-400x200.png)
Dimensionality Reduction for Multivariate Vector-Valued Functions with Shared Active Subspace
![Generalization Error Analysis of Nonlinear Functional Regression with Functional Deep Neural Networks](../../wp-content/uploads/2024/01/2401.02890-400x200.png)
Generalization Error Analysis of Nonlinear Functional Regression with Functional Deep Neural Networks
![Less Stringent Sparsity Requirements for Low-Rank Matrix Estimation](../../wp-content/uploads/2024/01/2401.02520-400x200.png)
Less Stringent Sparsity Requirements for Low-Rank Matrix Estimation
![Improving Piecewise Regression Models with Constraints: A Comprehensive Review](../../wp-content/uploads/2023/12/2312.16512-400x200.png)
Improving Piecewise Regression Models with Constraints: A Comprehensive Review
![Determining Statistical Capacity in Perceptron Models](../../wp-content/uploads/2023/12/2312.16531-400x200.png)
Determining Statistical Capacity in Perceptron Models
![Double Logistic Regression Approach to Biased Positive-Unlabeled Data](../../wp-content/uploads/2023/12/2312.16557-400x200.png)
Double Logistic Regression Approach to Biased Positive-Unlabeled Data
![New Formulation of Support Vector Machines for Improved Classifier Performance](../../wp-content/uploads/2023/12/2312.14795-400x200.png)
New Formulation of Support Vector Machines for Improved Classifier Performance
![Rate-Optimal Classification from Non-Private and Private Data](../../wp-content/uploads/2023/12/2312.14889-400x200.png)
Rate-Optimal Classification from Non-Private and Private Data
![Tensor Methods and Neural Networks: A Review of Recent Developments](../../wp-content/uploads/2023/12/2312.14922-400x200.png)
Tensor Methods and Neural Networks: A Review of Recent Developments
![Fast Rates for Returning Good Arms: A New Perspective on Simple Regret](../../wp-content/uploads/2023/12/2312.13875-400x200.png)
Fast Rates for Returning Good Arms: A New Perspective on Simple Regret
![novel block-wise Metropolization](../../wp-content/uploads/2023/12/2312.13889-400x200.png)
novel block-wise Metropolization
![Bridging the Gap Between Stochastic Gradient MCMC and Optimization](../../wp-content/uploads/2023/12/2312.14027-400x200.png)
Bridging the Gap Between Stochastic Gradient MCMC and Optimization
![Estimating Noise-Level Accuracy in Learned Reconstruction](../../wp-content/uploads/2023/12/2312.14078-400x200.png)
Estimating Noise-Level Accuracy in Learned Reconstruction
![Synthetic Data Generation for AI Acceleration: Challenges and Opportunities](../../wp-content/uploads/2023/12/2312.14095-400x200.png)
Synthetic Data Generation for AI Acceleration: Challenges and Opportunities
![Measuring Classifier Performance: A Comprehensive Review](../../wp-content/uploads/2023/12/2312.14136-400x200.png)
Measuring Classifier Performance: A Comprehensive Review
![Distributionally Robust Learning: A Comprehensive Survey](../../wp-content/uploads/2023/12/2312.13130-400x200.png)
Distributionally Robust Learning: A Comprehensive Survey
![Rethinking Air Pollution Monitoring: A Comparative Study of Low-Cost Sensors and Satellite Observations](../../wp-content/uploads/2023/12/2312.12003-400x200.png)
Rethinking Air Pollution Monitoring: A Comparative Study of Low-Cost Sensors and Satellite Observations
![Trade-offs in Deep Learning Models: A Comparative Study of CFN-RW and LightGCNet](../../wp-content/uploads/2023/12/2312.12022-400x200.png)
Trade-offs in Deep Learning Models: A Comparative Study of CFN-RW and LightGCNet
![Scaling Laws for Neural Language Models: A Comprehensive Review](../../wp-content/uploads/2023/12/2312.09634-400x200.png)