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2023 |
Lotfi, Sanae |
| Fluctuations, Bias, Variance & Ensemble of Learners: Exact Asymptotics for Convex Losses in High-Dimension
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2023 |
Loureiro, Bruno |
| Multi-Slots Online Matching with High Entropy
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2023 |
Lu, Xingyu |
| On Finite-Sample Identifiability of Contrastive Learning-Based Nonlinear Independent Component Analysis
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2023 |
Lyu, Qi |
| A Tighter Analysis of Spectral Clustering, and Beyond
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2023 |
Macgregor, Peter |
| Feature Selection Using E-Values
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2023 |
Majumdar, Subhabrata |
| More Efficient Sampling for Tensor Decomposition with Worst-Case Guarantees
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2023 |
Malik, Osman Asif |
| Differentially Private Coordinate Descent for Composite Empirical Risk Minimization
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2023 |
Mangold, Paul |
| Feature Learning and Signal Propagation in Deep Neural Networks
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2023 |
Lou, Yizhang |
| ModLaNets: Learning Generalisable Dynamics Via Modularity and Physical Inductive Bias
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2023 |
Lu, Yupu |
| Model-Free Opponent Shaping
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2023 |
Lu, Christopher |
| A Rigorous Study of Integrated Gradients Method and Extensions to Internal Neuron Attributions
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2023 |
Lundstrom, Daniel D. |
| Orchestra: Unsupervised Federated Learning Via Globally Consistent Clustering
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2023 |
Lubana, Ekdeep |
| Disentangled Federated Learning for Tackling Attributes Skew Via Invariant Aggregation and Diversity Transferring
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2023 |
Luo, Zhengquan |
| BAMDT: Bayesian Additive Semi-Multivariate Decision Trees for Nonparametric Regression
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2023 |
Luo, Zhao Tang |
| Learning Dynamics and Generalization in Deep Reinforcement Learning
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2023 |
Lyle, Clare |
| Quantification and Analysis of Layer-Wise and Pixel-Wise Information Discarding
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2023 |
Ma, Haotian |
| Architecture Agnostic Federated Learning for Neural Networks
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2023 |
Makhija, Disha |
| Nonparametric Involutive Markov Chain Monte Carlo
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2023 |
Mak, Carol |
| On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning
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2023 |
Mao, Weichao |
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