Bayesian Model Selection, the Marginal Likelihood, and Generalization
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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 |
Additive Gaussian Processes Revisited
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2023 |
Lu, Xiaoyu |
Pessimism Meets VCG: Learning Dynamic Mechanism Design Via Offline Reinforcement Learning
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2023 |
Lyu, Boxiang |
Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings
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2023 |
Macdonald, Jan |
Knowledge-Grounded Self-Rationalization Via Extractive and Natural Language Explanations
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2023 |
Majumder, Bodhisattwa Prasad |
Unaligned Supervision for Automatic Music Transcription in the Wild
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2023 |
Maman, Ben |
Refined Convergence Rates for Maximum Likelihood Estimation Under Finite Mixture Models
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2023 |
Manole, Tudor |
Personalized Federated Learning Through Local Memorization
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2023 |
Marfoq, Othmane |
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 |