arXiv Statistics @arxiv_stats@qoto.org

SAMBA: Safe Model-Based & Active Reinforcement Learning. (arXiv:2006.09436v1 [cs.LG]) http://arxiv.org/abs/2006.09436

A Study of Compositional Generalization in Neural Models. (arXiv:2006.09437v1 [cs.LG]) http://arxiv.org/abs/2006.09437

Off-policy Bandits with Deficient Support. (arXiv:2006.09438v1 [cs.LG]) http://arxiv.org/abs/2006.09438

Goodness-of-Fit Test for Self-Exciting Processes. (arXiv:2006.09439v1 [math.ST]) http://arxiv.org/abs/2006.09439

Real-Time Regression with Dividing Local Gaussian Processes. (arXiv:2006.09446v1 [cs.LG]) http://arxiv.org/abs/2006.09446

Opponent Modelling with Local Information Variational Autoencoders. (arXiv:2006.09447v1 [cs.LG]) http://arxiv.org/abs/2006.09447

Network Diffusions via Neural Mean-Field Dynamics. (arXiv:2006.09449v1 [cs.LG]) http://arxiv.org/abs/2006.09449

Towards practical differentially private causal graph discovery. (arXiv:2006.08598v1 [cs.CR]) http://arxiv.org/abs/2006.08598

Temporal Phenotyping using Deep Predictive Clustering of Disease Progression. (arXiv:2006.08600v1 [physics.med-ph]) http://arxiv.org/abs/2006.08600

On the training dynamics of deep networks with $L_2$ regularization. (arXiv:2006.08643v1 [stat.ML]) http://arxiv.org/abs/2006.08643

Variational Bayesian Monte Carlo with Noisy Likelihoods. (arXiv:2006.08655v1 [stat.ML]) http://arxiv.org/abs/2006.08655

Multiscale Deep Equilibrium Models. (arXiv:2006.08656v1 [cs.LG]) http://arxiv.org/abs/2006.08656

The Landscape of Nonconvex-Nonconcave Minimax Optimization. (arXiv:2006.08667v1 [math.OC]) http://arxiv.org/abs/2006.08667

On Adversarial Bias and the Robustness of Fair Machine Learning. (arXiv:2006.08669v1 [stat.ML]) http://arxiv.org/abs/2006.08669

To Pretrain or Not to Pretrain: Examining the Benefits of Pretraining on Resource Rich Tasks. (arXiv:2006.08671v1 [cs.CL]) http://arxiv.org/abs/2006.08671

Targeted Maximum Likelihood Estimation of Community-based Causal Effect of Community-Level Stochastic Interventions. (arXiv:2006.08675v1 [stat.AP]) http://arxiv.org/abs/2006.08675

Feature Space Saturation during Training. (arXiv:2006.08679v1 [cs.LG]) http://arxiv.org/abs/2006.08679

O(1) Communication for Distributed SGD through Two-Level Gradient Averaging. (arXiv:2006.07405v1 [cs.LG]) http://arxiv.org/abs/2006.07405

How to Avoid Being Eaten by a Grue: Structured Exploration Strategies for Textual Worlds. (arXiv:2006.07409v1 [cs.AI]) http://arxiv.org/abs/2006.07409

BI-MAML: Balanced Incremental Approach for Meta Learning. (arXiv:2006.07412v1 [cs.LG]) http://arxiv.org/abs/2006.07412