| Bayesian Model Selection, the Marginal Likelihood, and Generalization
|
2023 |
Lotfi, Sanae |
| Fluctuations, Bias, Variance & Ensemble of Learners: Exact Asymptotics for Convex Losses in High-Dimension
|
2023 |
Loureiro, Bruno |
| Multi-Slots Online Matching with High Entropy
|
2023 |
Lu, Xingyu |
| On Finite-Sample Identifiability of Contrastive Learning-Based Nonlinear Independent Component Analysis
|
2023 |
Lyu, Qi |
| A Tighter Analysis of Spectral Clustering, and Beyond
|
2023 |
Macgregor, Peter |
| Feature Selection Using E-Values
|
2023 |
Majumdar, Subhabrata |
| More Efficient Sampling for Tensor Decomposition with Worst-Case Guarantees
|
2023 |
Malik, Osman Asif |
| Differentially Private Coordinate Descent for Composite Empirical Risk Minimization
|
2023 |
Mangold, Paul |
| A Single-Loop Gradient Descent and Perturbed Ascent Algorithm for Nonconvex Functional Constrained Optimization
|
2023 |
Lu, Songtao |
| Maximum Likelihood Training for Score-Based Diffusion ODEs by High Order Denoising Score Matching
|
2023 |
Lu, Cheng |
| Channel Importance Matters in Few-Shot Image Classification
|
2023 |
Luo, Xu |
| Versatile Offline Imitation from Observations and Examples Via Regularized State-Occupancy Matching
|
2023 |
Ma, Yecheng |
| Zero-Shot Reward Specification Via Grounded Natural Language
|
2023 |
Mahmoudieh, Parsa |
| Robustness in Multi-Objective Submodular Optimization: A Quantile Approach
|
2023 |
Malherbe, Cedric |
| Decision-Focused Learning: Through the Lens of Learning to Rank
|
2023 |
Mandi, Jayanta |
| On the Effects of Artificial Data Modification
|
2023 |
Marcu, Antonia |
| Feature Learning and Signal Propagation in Deep Neural Networks
|
2023 |
Lou, Yizhang |
| ModLaNets: Learning Generalisable Dynamics Via Modularity and Physical Inductive Bias
|
2023 |
Lu, Yupu |
| Model-Free Opponent Shaping
|
2023 |
Lu, Christopher |
| A Rigorous Study of Integrated Gradients Method and Extensions to Internal Neuron Attributions
|
2023 |
Lundstrom, Daniel D. |
Tag hinzufügen