arXiv Statistics @arxiv_stats@qoto.org

Dynamic Incentive-aware Learning: Robust Pricing in Contextual Auctions. (arXiv:2002.11137v1 [cs.LG]) http://arxiv.org/abs/2002.11137

TxSim:Modeling Training of Deep Neural Networks on Resistive Crossbar Systems. (arXiv:2002.11151v1 [cs.LG]) http://arxiv.org/abs/2002.11151

Fundamental Issues Regarding Uncertainties in Artificial Neural Networks. (arXiv:2002.11152v1 [stat.ML]) http://arxiv.org/abs/2002.11152

Smoothing Graphons for Modelling Exchangeable Relational Data. (arXiv:2002.11159v1 [stat.ML]) http://arxiv.org/abs/2002.11159

Data-driven super-parameterization using deep learning: Experimentation with multi-scale Lorenz 96 systems and transfer-learning. (arXiv:2002.11167v1 [physics.ao-ph]) http://arxiv.org/abs/2002.11167

A Sample Complexity Separation between Non-Convex and Convex Meta-Learning. (arXiv:2002.11172v1 [cs.LG]) http://arxiv.org/abs/2002.11172

Information Directed Sampling for Linear Partial Monitoring. (arXiv:2002.11182v1 [stat.ML]) http://arxiv.org/abs/2002.11182

The Moran Genealogy Process. (arXiv:2002.11184v1 [q-bio.PE]) http://arxiv.org/abs/2002.11184

Reliable Estimation of Kullback-Leibler Divergence by Controlling Discriminator Complexity in the Reproducing Kernel Hilbert Space. (arXiv:2002.11187v1 [cs.LG]) http://arxiv.org/abs/2002.11187

QEML (Quantum Enhanced Machine Learning): Using Quantum Computing to Enhance ML Classifiers and Feature Spaces. (arXiv:2002.10453v1 [quant-ph]) http://arxiv.org/abs/2002.10453

Precise Tradeoffs in Adversarial Training for Linear Regression. (arXiv:2002.10477v1 [cs.LG]) http://arxiv.org/abs/2002.10477

Interpolating Between Gradient Descent and Exponentiated Gradient Using Reparameterized Gradient Descent. (arXiv:2002.10487v1 [cs.LG]) http://arxiv.org/abs/2002.10487

Uncovering ecological state dynamics with hidden Markov models. (arXiv:2002.10497v1 [q-bio.QM]) http://arxiv.org/abs/2002.10497

Variational Hyper RNN for Sequence Modeling. (arXiv:2002.10501v1 [cs.LG]) http://arxiv.org/abs/2002.10501

On Pruning Adversarially Robust Neural Networks. (arXiv:2002.10509v1 [cs.CV]) http://arxiv.org/abs/2002.10509

Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows. (arXiv:2002.10516v1 [cs.LG]) http://arxiv.org/abs/2002.10516

Causal bounds for outcome-dependent sampling in observational studies. (arXiv:2002.10519v1 [stat.ME]) http://arxiv.org/abs/2002.10519

Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms. (arXiv:2002.10526v1 [math.ST]) http://arxiv.org/abs/2002.10526

Efficient Rollout Strategies for Bayesian Optimization. (arXiv:2002.10539v1 [cs.LG]) http://arxiv.org/abs/2002.10539

On the Search for Feedback in Reinforcement Learning. (arXiv:2002.09478v1 [cs.LG]) http://arxiv.org/abs/2002.09478