arXiv Statistics @arxiv_stats@qoto.org

Recovering Petaflops in Contrastive Semi-Supervised Learning of Visual Representations. (arXiv:2006.10803v1 [cs.LG]) http://arxiv.org/abs/2006.10803

Reparameterized Variational Divergence Minimization for Stable Imitation. (arXiv:2006.10810v1 [cs.LG]) http://arxiv.org/abs/2006.10810

An adversarial algorithm for variational inference with a new role for acetylcholine. (arXiv:2006.10811v1 [q-bio.NC]) http://arxiv.org/abs/2006.10811

FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs. (arXiv:2006.10814v1 [cs.LG]) http://arxiv.org/abs/2006.10814

Automatically Learning Compact Quality-aware Surrogates for Optimization Problems. (arXiv:2006.10815v1 [cs.LG]) http://arxiv.org/abs/2006.10815

Cooperative Multi-Agent Reinforcement Learning with Partial Observations. (arXiv:2006.10822v1 [cs.LG]) http://arxiv.org/abs/2006.10822

Stability of Internal States in Recurrent Neural Networks Trained on Regular Languages. (arXiv:2006.10828v1 [cs.LG]) http://arxiv.org/abs/2006.10828

Fair k-Means Clustering. (arXiv:2006.10085v1 [cs.LG]) http://arxiv.org/abs/2006.10085

Housing Market Prediction Problem using Different Machine Learning Algorithms: A Case Study. (arXiv:2006.10092v1 [cs.LG]) http://arxiv.org/abs/2006.10092

Nearly Optimal Robust Method for Convex Compositional Problems with Heavy-Tailed Noise. (arXiv:2006.10095v1 [cs.LG]) http://arxiv.org/abs/2006.10095

Towards Recurrent Autoregressive Flow Models. (arXiv:2006.10096v1 [cs.LG]) http://arxiv.org/abs/2006.10096

Rethinking Semi-Supervised Learning in VAEs. (arXiv:2006.10102v1 [cs.LG]) http://arxiv.org/abs/2006.10102

Right-truncated Archimedean and related copulas. (arXiv:2006.10107v1 [math.ST]) http://arxiv.org/abs/2006.10107

Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness. (arXiv:2006.10108v1 [cs.LG]) http://arxiv.org/abs/2006.10108

Constraint-Based Regularization of Neural Networks. (arXiv:2006.10114v1 [cs.LG]) http://arxiv.org/abs/2006.10114

Markovian RNN: An Adaptive Time Series Prediction Network with HMM-based Switching for Nonstationary Environments. (arXiv:2006.10119v1 [cs.LG]) http://arxiv.org/abs/2006.10119

A block coordinate descent optimizer for classification problems exploiting convexity. (arXiv:2006.10123v1 [cs.LG]) http://arxiv.org/abs/2006.10123

Density Deconvolution with Normalizing Flows. (arXiv:2006.09396v1 [stat.ML]) http://arxiv.org/abs/2006.09396

Wasserstein Embedding for Graph Learning. (arXiv:2006.09430v1 [cs.LG]) http://arxiv.org/abs/2006.09430

Logarithmic Voronoi cells. (arXiv:2006.09431v1 [math.ST]) http://arxiv.org/abs/2006.09431