| Extracting Latent State Representations with Linear Dynamics from Rich Observations
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2023 |
Frandsen, Abraham |
| Why Should I Trust You, Bellman? the Bellman Error is a Poor Replacement for Value Error
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2023 |
Fujimoto, Scott |
| Lazy Estimation of Variable Importance for Large Neural Networks
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2023 |
Gao, Yue |
| Stochastic Smoothing of the top-K Calibrated Hinge Loss for Deep Imbalanced Classification
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2023 |
Garcin, Camille |
| Inducing Causal Structure for Interpretable Neural Networks
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2023 |
Geiger, Atticus |
| Variational Inference with Locally Enhanced Bounds for Hierarchical Models
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2023 |
Geffner, Tomas |
| A Regret Minimization Approach to Multi-Agent Control
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2023 |
Ghai, Udaya |
| Revisiting the Effects of Stochasticity for Hamiltonian Samplers
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2023 |
Franzese, Giulio |
| Bregman Neural Networks
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2023 |
Frecon, Jordan |
| (Non-)Convergence Results for Predictive Coding Networks
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2023 |
Frieder, Simon |
| Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning
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2023 |
Fu, Wei |
| Deep Reference Priors: What is the Best Way to Pretrain a Model?
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2023 |
Gao, Yansong |
| Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack
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2023 |
Gao, Ruize |
| Learning to Incorporate Texture Saliency Adaptive Attention to Image Cartoonization
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2023 |
Gao, Xiang |
| PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation
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2023 |
Gargiani, Matilde |
| UniRank: Unimodal Bandit Algorithms for Online Ranking
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2023 |
Gauthier, Camille-Sovanneary |
| Online Learning for Min Sum Set Cover and Pandora’s Box
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2023 |
Gergatsouli, Evangelia |
| Scaling Structured Inference with Randomization
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2023 |
Fu, Yao |
| DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks
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2023 |
Fu, Yonggan |
| The Complexity of k-Means Clustering When Little is Known
|
2023 |
Ganian, Robert |
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