Sinkhorn Natural Gradient for Generative Models
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2021 |
Shen, Zebang |
Ultrahyperbolic Representation Learning
|
2021 |
Law, Marc |
Graphon Neural Networks and the Transferability of Graph Neural Networks
|
2021 |
Ruiz, Luana |
Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction
|
2021 |
Janner, Michael |
Deep Transformers with Latent Depth
|
2021 |
Li, Xian |
Neural Mesh Flow: 3D Manifold Mesh Generation via Diffeomorphic Flows
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2021 |
Gupta, Kunal |
A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees
|
2021 |
Zhu, Haoran |
Outlier Robust Mean Estimation with Subgaussian Rates via Stability
|
2021 |
Diakonikolas, Ilias |
Marginal Utility for Planning in Continuous or Large Discrete Action Spaces
|
2021 |
Ahmad, Zaheen |
Minimax Lower Bounds for Transfer Learning with Linear and One-hidden Layer Neural Networks
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2021 |
Mousavi Kalan, Mohammadreza |
The Power of Predictions in Online Control
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2021 |
Yu, Chenkai |
Dynamic Fusion of Eye Movement Data and Verbal Narrations in Knowledge-rich Domains
|
2021 |
Zheng, Ervine |
SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence
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2021 |
Chewi, Sinho |
Differentiable Meta-Learning of Bandit Policies
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2021 |
Boutilier, Craig |
Self-Distillation as Instance-Specific Label Smoothing
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2021 |
Zhang, Zhilu |
Cross-lingual Retrieval for Iterative Self-Supervised Training
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2021 |
Tran, Chau |
Rescuing neural spike train models from bad MLE
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2021 |
Arribas, Diego |
Black-Box Certification with Randomized Smoothing: A Functional Optimization Based Framework
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2021 |
Zhang, Dinghuai |
Stationary Activations for Uncertainty Calibration in Deep Learning
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2021 |
Meronen, Lassi |
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization
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2021 |
Letham, Ben |