Pages that link to "Item:Q1009294"
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The following pages link to Convex multi-task feature learning (Q1009294):
Displaying 37 items.
- (Q5149225) (← links)
- Convergence rate analysis of proximal gradient methods with applications to composite minimization problems (Q5151529) (← links)
- (Q5210479) (← links)
- Orthogonal Rank-One Matrix Pursuit for Low Rank Matrix Completion (Q5251927) (← links)
- Matrix Support Functionals for Inverse Problems, Regularization, and Learning (Q5258946) (← links)
- Recovery of low-rank matrices based on the rank null space properties (Q5348779) (← links)
- Bayesian Sparse Partial Least Squares (Q5378291) (← links)
- Matrix Poincaré, Φ-Sobolev inequalities, and quantum ensembles (Q5379353) (← links)
- Direct Density Derivative Estimation (Q5380441) (← links)
- (Q5381110) (← links)
- Information-Theoretic Semi-Supervised Metric Learning via Entropy Regularization (Q5383793) (← links)
- (Q5869023) (← links)
- A novel ramp loss-based multi-task twin support vector machine with multi-parameter safe acceleration (Q6048760) (← links)
- Variable selection for high‐dimensional generalized linear model with block‐missing data (Q6049794) (← links)
- Group sparse recovery via group square-root elastic net and the iterative multivariate thresholding-based algorithm (Q6065672) (← links)
- Sparse and Low-Rank Matrix Quantile Estimation With Application to Quadratic Regression (Q6086172) (← links)
- Deep matrix factorization with knowledge transfer for lifelong clustering and semi-supervised clustering (Q6092054) (← links)
- A unified analysis of convex and non-convex \(\ell_p\)-ball projection problems (Q6097485) (← links)
- Smooth over-parameterized solvers for non-smooth structured optimization (Q6110460) (← links)
- Joint Bayesian analysis of multiple response-types using the hierarchical generalized transformation model (Q6121614) (← links)
- Calibrated multi-task subspace learning via binary group structure constraint (Q6126679) (← links)
- Event detection in online social network: methodologies, state-of-art, and evolution (Q6158766) (← links)
- Data driven discovery of systems of ordinary differential equations using nonconvex multitask learning (Q6161211) (← links)
- High-dimensional estimation of quadratic variation based on penalized realized variance (Q6166018) (← links)
- Smoothing fast proximal gradient algorithm for the relaxation of matrix rank regularization problem (Q6169244) (← links)
- Adaptive and robust multi-task learning (Q6183769) (← links)
- Mixed-integer quadratic programming reformulations of multi-task learning models (Q6195559) (← links)
- Reexamining low rank matrix factorization for trace norm regularization (Q6195596) (← links)
- Multi-task ordinal regression with labeled and unlabeled data (Q6488771) (← links)
- Constructing low-rank Tucker tensor approximations using generalized completion (Q6489425) (← links)
- Towards probabilistic robust and sparsity-free compressive sampling in civil engineering: a review (Q6538371) (← links)
- Matrix recovery from nonconvex regularized least absolute deviations (Q6557678) (← links)
- Low-rank matrix recovery under heavy-tailed errors (Q6565325) (← links)
- Cardinality-constrained structured data-fitting problems (Q6584338) (← links)
- Multi-dimensional scaling from \(K\)-nearest neighbourhood distances (Q6608081) (← links)
- Nonparametric Modeling and Prognosis of Condition Monitoring Signals Using Multivariate Gaussian Convolution Processes (Q6622455) (← links)
- Operator learning with Gaussian processes (Q6669069) (← links)
