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
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2022 |
Rajendran, Goutham |
Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning
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2022 |
DENG, Danruo |
Federated Graph Classification over Non-IID Graphs
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2022 |
Xie, Han |
Amortized Synthesis of Constrained Configurations Using a Differentiable Surrogate
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2022 |
Sun, Xingyuan |
Distributed Estimation with Multiple Samples per User: Sharp Rates and Phase Transition
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2022 |
Acharya, Jayadev |
Metropolis-Hastings Data Augmentation for Graph Neural Networks
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2022 |
Park, Hyeonjin |
Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing
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2022 |
Khodak, Mikhail |
Leveraging Distribution Alignment via Stein Path for Cross-Domain Cold-Start Recommendation
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2022 |
Liu, Weiming |
Understanding the Effect of Stochasticity in Policy Optimization
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2022 |
Mei, Jincheng |
ViSER: Video-Specific Surface Embeddings for Articulated 3D Shape Reconstruction
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2022 |
Yang, Gengshan |
Optimal Underdamped Langevin MCMC Method
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2022 |
Hu, Zhengmian |
Differentiable Annealed Importance Sampling and the Perils of Gradient Noise
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2022 |
Zhang, Guodong |
PSD Representations for Effective Probability Models
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2022 |
Rudi, Alessandro |
EIGNN: Efficient Infinite-Depth Graph Neural Networks
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2022 |
Liu, Juncheng |
SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning
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2022 |
Ucar, Talip |
Conflict-Averse Gradient Descent for Multi-task learning
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2022 |
Liu, Bo |
Neural Program Generation Modulo Static Analysis
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2022 |
Mukherjee, Rohan |
Agnostic Reinforcement Learning with Low-Rank MDPs and Rich Observations
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2022 |
Sekhari, Ayush |
Support Recovery of Sparse Signals from a Mixture of Linear Measurements
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2022 |
Pal, Soumyabrata |