| Rethinking Fano’s Inequality in Ensemble Learning
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2023 |
Morishita, Terufumi |
| Generalized Beliefs for Cooperative AI
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2023 |
Muglich, Darius |
| Overcoming Oscillations in Quantization-Aware Training
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2023 |
Nagel, Markus |
| Strategic Representation
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2023 |
Nair, Vineet |
| Variational Inference for Infinitely Deep Neural Networks
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2023 |
Nazaret, Achille |
| On Transportation of Mini-Batches: A Hierarchical Approach
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2023 |
Nguyen, Khai |
| Power-Law Escape Rate of SGD
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2023 |
Mori, Takashi |
| Feature and Parameter Selection in Stochastic Linear Bandits
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2023 |
Moradipari, Ahmadreza |
| CtrlFormer: Learning Transferable State Representation for Visual Control Via Transformer
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2023 |
Mu, Yao Mark |
| Constants Matter: The Performance Gains of Active Learning
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2023 |
Mussmann, Stephen O. |
| Bounding the Width of Neural Networks Via Coupled Initialization a Worst Case Analysis
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2023 |
Munteanu, Alexander |
| The Importance of Non-Markovianity in Maximum State Entropy Exploration
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2023 |
Mutti, Mirco |
| PAC-Net: A Model Pruning Approach to Inductive Transfer Learning
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2023 |
Myung, Sanghoon |
| Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models
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2023 |
Nava, Elvis |
| Tight and Robust Private Mean Estimation with Few Users
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2023 |
Narayanan, Shyam |
| Sublinear-Time Clustering Oracle for Signed Graphs
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2023 |
Neumann, Stefan |
| Improved Regret for Differentially Private Exploration in Linear MDP
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2023 |
Ngo, Dung Daniel T. |
| Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling
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2023 |
Nguyen, Tung |
| SpeqNets: Sparsity-Aware Permutation-Equivariant Graph Networks
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2023 |
Morris, Christopher |
| DNNR: Differential Nearest Neighbors Regression
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2023 |
Nader, Youssef |
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