| SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios
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2022 |
Kothawade, Suraj |
| Structure learning in polynomial time: Greedy algorithms, Bregman information, and exponential families
|
2022 |
Rajendran, Goutham |
| Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning
|
2022 |
DENG, Danruo |
| Federated Graph Classification over Non-IID Graphs
|
2022 |
Xie, Han |
| Amortized Synthesis of Constrained Configurations Using a Differentiable Surrogate
|
2022 |
Sun, Xingyuan |
| Distributed Estimation with Multiple Samples per User: Sharp Rates and Phase Transition
|
2022 |
Acharya, Jayadev |
| Metropolis-Hastings Data Augmentation for Graph Neural Networks
|
2022 |
Park, Hyeonjin |
| Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing
|
2022 |
Khodak, Mikhail |
| Leveraging Distribution Alignment via Stein Path for Cross-Domain Cold-Start Recommendation
|
2022 |
Liu, Weiming |
| Understanding the Effect of Stochasticity in Policy Optimization
|
2022 |
Mei, Jincheng |
| ViSER: Video-Specific Surface Embeddings for Articulated 3D Shape Reconstruction
|
2022 |
Yang, Gengshan |
| Optimal Underdamped Langevin MCMC Method
|
2022 |
Hu, Zhengmian |
| Differentiable Annealed Importance Sampling and the Perils of Gradient Noise
|
2022 |
Zhang, Guodong |
| PSD Representations for Effective Probability Models
|
2022 |
Rudi, Alessandro |
| Heavy Ball Neural Ordinary Differential Equations
|
2022 |
Xia, Hedi |
| On the Sample Complexity of Learning under Geometric Stability
|
2022 |
Bietti, Alberto |
| Learning Models for Actionable Recourse
|
2022 |
Ross, Alexis |
| Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms
|
2022 |
Camuto, Alexander |
| Convergence Rates of Stochastic Gradient Descent under Infinite Noise Variance
|
2022 |
Wang, Hongjian |
| Efficient First-Order Contextual Bandits: Prediction, Allocation, and Triangular Discrimination
|
2022 |
Foster, Dylan J |
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