- EXP4-DFDC: A Non-Stochastic Multi-Armed Bandit for Cache Replacement. (arXiv:2009.11330v1 [cs.LG])
- Dataset Optimization Strategies for MalwareTraffic Detection. (arXiv:2009.11347v1 [cs.LG])
- A Sample-Efficient Algorithm for Episodic Finite-Horizon MDP with Constraints. (arXiv:2009.11348v1 [cs.LG])
- Higher-Order Spectral Clustering for Geometric Graphs. (arXiv:2009.11353v1 [cs.LG])
- Structure Aware Negative Sampling in Knowledge Graphs. (arXiv:2009.11355v1 [cs.LG])
- A Unified Analysis of First-Order Methods for Smooth Games via Integral Quadratic Constraints. (arXiv:2009.11359v1 [math.OC])
- EPEM: Efficient Parameter Estimation for Multiple Class Monotone Missing Data. (arXiv:2009.11360v1 [cs.LG])
- Detection of Iterative Adversarial Attacks via Counter Attack. (arXiv:2009.11397v1 [cs.LG])
- High Dimensional Bayesian Network Classification with Network Global-Local Shrinkage Priors. (arXiv:2009.11401v1 [stat.ME])
- Rank-Based Multi-task Learning for Fair Regression. (arXiv:2009.11405v1 [cs.LG])
- Unfairness Discovery and Prevention For Few-Shot Regression. (arXiv:2009.11406v1 [cs.LG])
- Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19. (arXiv:2009.11407v1 [cs.LG])
- Bayesian Hierarchical Models for High-Dimensional Mediation Analysis with Coordinated Selection of Correlated Mediators. (arXiv:2009.11409v1 [stat.AP])
- An elementary approach for minimax estimation of Bernoulli proportion in the restricted parameter space. (arXiv:2009.11413v1 [math.ST])
- Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization. (arXiv:2009.11416v1 [cs.LG])
- Generalized Score Matching for General Domains. (arXiv:2009.11428v1 [stat.ME])
- A Wavelet-Based Independence Test for Functional Data with an Application to MEG Functional Connectivity. (arXiv:2009.11452v1 [stat.ME])
- Revisiting Graph Convolutional Network on Semi-Supervised Node Classification from an Optimization Perspective. (arXiv:2009.11469v1 [cs.LG])
- Theoretical Analysis of the Advantage of Deepening Neural Networks. (arXiv:2009.11479v1 [cs.LG])
- Parsimonious Feature Extraction Methods: Extending Robust Probabilistic Projections with Generalized Skew-t. (arXiv:2009.11499v1 [stat.ME])
- Improving Query Efficiency of Black-box Adversarial Attack. (arXiv:2009.11508v1 [cs.LG])
- EPNE: Evolutionary Pattern Preserving Network Embedding. (arXiv:2009.11510v1 [cs.LG])
- COBI-GRINE: A Tool for Visualization and Advanced Evaluation of Communities in Mass Channel Similarity Graphs. (arXiv:2009.11581v1 [stat.CO])
- Boosting Algorithms for Delivery Time Prediction in Transportation Logistics. (arXiv:2009.11598v1 [cs.LG])
- Clustering Based on Graph of Density Topology. (arXiv:2009.11612v1 [cs.LG])
- Message-Passing Algorithms and Homology. (arXiv:2009.11631v1 [math-ph])
- Risk upper bounds for RKHS ridge group sparse estimator in the regression model with non-Gaussian and non-bounded error. (arXiv:2009.11646v1 [math.ST])
- Legally grounded fairness objectives. (arXiv:2009.11677v1 [cs.LG])
- Privacy-preserving Transfer Learning via Secure Maximum Mean Discrepancy. (arXiv:2009.11680v1 [cs.LG])
- A Variational Auto-Encoder for Reservoir Monitoring. (arXiv:2009.11693v1 [cs.LG])
- Compressed imitation learning. (arXiv:2009.11697v1 [cs.LG])
- Principles and Practice of Explainable Machine Learning. (arXiv:2009.11698v1 [cs.LG])
- A Rigorous Link Between Self-Organizing Maps and Gaussian Mixture Models. (arXiv:2009.11710v1 [cs.LG])
- Online Structural Change-point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning. (arXiv:2009.11713v1 [stat.ML])
- Interpreting and Boosting Dropout from a Game-Theoretic View. (arXiv:2009.11729v1 [cs.LG])
- A Unifying Review of Deep and Shallow Anomaly Detection. (arXiv:2009.11732v1 [cs.LG])
- Distributed Community Detection for Large Scale Networks Using Stochastic Block Model. (arXiv:2009.11747v1 [stat.ME])
- BreachRadar: Automatic Detection of Points-of-Compromise. (arXiv:2009.11751v1 [cs.CR])
- Secure Data Sharing With Flow Model. (arXiv:2009.11762v1 [cs.LG])
- Unsupervised Transfer Learning for Spatiotemporal Predictive Networks. (arXiv:2009.11763v1 [cs.LG])
- MatchThem:: Matching and Weighting after Multiple Imputation. (arXiv:2009.11772v1 [stat.ME])
- Optimal Sampling Regimes for Estimating Population Dynamics. (arXiv:2009.11797v1 [stat.ME])
- A new multivariate meta-analysis model for many variates and few studies. (arXiv:2009.11808v1 [stat.ME])
- Identifying noisy labels with a transductive semi-supervised leave-one-out filter. (arXiv:2009.11811v1 [cs.LG])
- Principles for Covariate Adjustment in Analyzing Randomized Clinical Trials. (arXiv:2009.11828v1 [stat.ME])
- Semi-supervised sequence classification through change point detection. (arXiv:2009.11829v1 [cs.LG])
- A Gradient Flow Framework For Analyzing Network Pruning. (arXiv:2009.11839v1 [cs.LG])
- How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks. (arXiv:2009.11848v1 [cs.LG])
- Reciprocal Maximum Likelihood Degrees of Brownian Motion Tree Models. (arXiv:2009.11849v1 [math.ST])
- How Many Factors Influence Minima in SGD?. (arXiv:2009.11858v1 [cs.LG])
- What to make of non-inferiority and equivalence testing with a post-specified margin?. (arXiv:1807.03413v4 [stat.ME] UPDATED)
- Envy-Free Classification. (arXiv:1809.08700v2 [cs.LG] UPDATED)
- Orthogonal Statistical Learning. (arXiv:1901.09036v3 [math.ST] UPDATED)
- Neural-encoding Human Experts' Domain Knowledge to Warm Start Reinforcement Learning. (arXiv:1902.06007v4 [cs.LG] UPDATED)
- Tag2Vec: Learning Tag Representations in Tag Networks. (arXiv:1905.03041v2 [cs.SI] UPDATED)
- On the descriptive power of Neural-Networks as constrained Tensor Networks with exponentially large bond dimension. (arXiv:1905.11351v4 [quant-ph] UPDATED)
- An Attention-Guided Deep Regression Model for Landmark Detection in Cephalograms. (arXiv:1906.07549v2 [eess.IV] UPDATED)
- Robust analogues to the Coefficient of Variation. (arXiv:1907.01110v2 [math.ST] UPDATED)
- Learning in Volatile Environments with the Bayes Factor Surprise. (arXiv:1907.02936v3 [stat.ML] UPDATED)
- $t$-$k$-means: A Robust and Stable $k$-means Variant. (arXiv:1907.07442v3 [cs.LG] UPDATED)
- On the Theory of Policy Gradient Methods: Optimality, Approximation, and Distribution Shift. (arXiv:1908.00261v4 [cs.LG] UPDATED)
- Krylov Subspace Method for Nonlinear Dynamical Systems with Random Noise. (arXiv:1909.03634v4 [cs.LG] UPDATED)
- Deep neural network solution of the electronic Schr\"odinger equation. (arXiv:1909.08423v5 [physics.comp-ph] UPDATED)
- Benchmarking Tropical Cyclone Rapid Intensification with Satellite Images and Attention-based Deep Models. (arXiv:1909.11616v2 [cs.LG] UPDATED)
- High dimensional regression for regenerative time-series: an application to road traffic modeling. (arXiv:1910.11095v4 [math.ST] UPDATED)
- InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions. (arXiv:1911.00219v3 [cs.LG] UPDATED)
- Convergence Analysis of a Momentum Algorithm with Adaptive Step Size for Non Convex Optimization. (arXiv:1911.07596v2 [math.OC] UPDATED)
- Large-scale inference of correlation among mixed-type biological traits with phylogenetic multivariate probit models. (arXiv:1912.09185v4 [stat.ME] UPDATED)
- Graph link prediction in computer networks using Poisson matrix factorisation. (arXiv:2001.09456v2 [stat.AP] UPDATED)
- Optimal quantization of the mean measure and application to clustering of measures. (arXiv:2002.01216v2 [math.ST] UPDATED)
- Adaptive Experimental Design for Efficient Treatment Effect Estimation. (arXiv:2002.05308v3 [stat.ML] UPDATED)
- Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data. (arXiv:2002.12880v3 [stat.ML] UPDATED)
- Learning Algebraic Multigrid Using Graph Neural Networks. (arXiv:2003.05744v2 [cs.LG] UPDATED)
- Robust adaptive variable selection in ultra-high dimensional linear regression models. (arXiv:2004.05470v2 [stat.ME] UPDATED)
- BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic. (arXiv:2004.07743v4 [stat.AP] UPDATED)
- From industry-wide parameters to aircraft-centric on-flight inference: improving aeronautics performance prediction with machine learning. (arXiv:2005.05286v2 [stat.AP] UPDATED)
- SDCOR: Scalable Density-based Clustering for Local Outlier Detection in Massive-Scale Datasets. (arXiv:2006.07616v3 [cs.LG] UPDATED)
- Estimating causal effects in the presence of partial interference using multivariate Bayesian structural time series models. (arXiv:2006.12269v2 [stat.AP] UPDATED)
- Reconciling Causality and Statistics. (arXiv:2007.03940v2 [cs.AI] UPDATED)
- Evolve To Control: Evolution-based Soft Actor-Critic for Scalable Reinforcement Learning. (arXiv:2007.13690v2 [cs.LG] UPDATED)
- Out-of-Distribution Generalization with Maximal Invariant Predictor. (arXiv:2008.01883v2 [stat.ML] UPDATED)
- TREX: Tree-Ensemble Representer-Point Explanations. (arXiv:2009.05530v2 [cs.LG] UPDATED)
- Transfer Learning in Deep Reinforcement Learning: A Survey. (arXiv:2009.07888v2 [cs.LG] UPDATED)
- Parameter estimation for Vasicek model driven by a general Gaussian noise. (arXiv:2009.09332v2 [math.ST] UPDATED)
- Effects of winter climate on high speed passenger trains in Botnia-Atlantica region. (arXiv:2009.10426v2 [stat.AP] UPDATED)
- Asymptotic independence of spiked eigenvalues and linear spectral statistics for large sample covariance matrices. (arXiv:2009.11010v2 [math.ST] UPDATED)
- Deep multi-stations weather forecasting: explainable recurrent convolutional neural networks. (arXiv:2009.11239v2 [cs.LG] UPDATED)