| Universal and Data-Adaptive Algorithms for Model Selection in Linear Contextual Bandits
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2023 |
Muthukumar, Vidya K. |
| On the Generalization Analysis of Adversarial Learning
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2023 |
Mustafa, Waleed |
| AutoSNN: Towards Energy-Efficient Spiking Neural Networks
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2023 |
Na, Byunggook |
| Implicit Bias of the Step Size in Linear Diagonal Neural Networks
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2023 |
Nacson, Mor Shpigel |
| Measuring Representational Robustness of Neural Networks Through Shared Invariances
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2023 |
Nanda, Vedant |
| Multi-Task Learning as a Bargaining Game
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2023 |
Navon, Aviv |
| A Framework for Learning to Request Rich and Contextually Useful Information from Humans
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2023 |
Nguyen, Khanh X. |
| Optimal Estimation of Policy Gradient Via Double Fitted Iteration
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2023 |
Ni, Chengzhuo |
| 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 |
| Improving Ensemble Distillation with Weight Averaging and Diversifying Perturbation
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2023 |
Nam, Giung |
| Stable Conformal Prediction Sets
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2023 |
Ndiaye, Eugene |
| Discovering Generalizable Spatial Goal Representations Via Graph-Based Active Reward Learning
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2023 |
Netanyahu, Aviv |
| Improving Mini-Batch Optimal Transport Via Partial Transportation
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2023 |
Nguyen, Khai |
| Improving Transformers with Probabilistic Attention Keys
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2023 |
Nguyen, Tam Minh |
| Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs
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2023 |
Ni, Tianwei |
| 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. |
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