- Surrogate-free machine learning-based organ dose reconstruction for pediatric abdominal radiotherapy. (arXiv:2002.07161v1 [physics.med-ph])
- Kalman meets Bellman: Improving Policy Evaluation through Value Tracking. (arXiv:2002.07171v1 [cs.LG])
- How Impersonators Exploit Instagram to Generate Fake Engagement?. (arXiv:2002.07173v1 [cs.SI])
- Ripple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural Network. (arXiv:2002.07206v1 [cs.LG])
- Robust Stochastic Bandit Algorithms under Probabilistic Unbounded Adversarial Attack. (arXiv:2002.07214v1 [cs.LG])
- Decision-Making with Auto-Encoding Variational Bayes. (arXiv:2002.07217v1 [stat.ML])
- Evolutionary Optimization of Deep Learning Activation Functions. (arXiv:2002.07224v1 [cs.LG])
- On the Discrepancy between Density Estimation and Sequence Generation. (arXiv:2002.07233v1 [cs.LG])
- Bayesian Quantile Factor Models. (arXiv:2002.07242v1 [stat.ME])
- Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness. (arXiv:2002.07246v1 [stat.ML])
- Investigating Extensions to Random Walk Based Graph Embedding. (arXiv:2002.07252v1 [cs.LG])
- Nonparametric Bayesian Deconvolution of a Symmetric Unimodal Density. (arXiv:2002.07255v1 [stat.ME])
- Statistically Efficient, Polynomial Time Algorithms for Combinatorial Semi Bandits. (arXiv:2002.07258v1 [stat.ML])
- Identifying Critical Neurons in ANN Architectures using Mixed Integer Programming. (arXiv:2002.07259v1 [cs.LG])
- Estimating processes in adapted Wasserstein distance. (arXiv:2002.07261v1 [math.PR])
- Combining SchNet and SHARC: The SchNarc machine learning approach for excited-state dynamics. (arXiv:2002.07264v1 [physics.chem-ph])
- Thou Shalt Not Reject the $\textit{P}$-value. (arXiv:2002.07270v1 [stat.ME])
- Deep Attention Spatio-Temporal Point Processes. (arXiv:2002.07281v1 [stat.ML])
- Langevin DQN. (arXiv:2002.07282v1 [cs.LG])
- Sharp Asymptotics and Optimal Performance for Inference in Binary Models. (arXiv:2002.07284v1 [math.ST])
- Double/Debiased Machine Learning for Dynamic Treatment Effects. (arXiv:2002.07285v1 [econ.EM])
- Stochastic Gauss-Newton Algorithms for Nonconvex Compositional Optimization. (arXiv:2002.07290v1 [math.OC])
- Estimating the number and effect sizes of non-null hypotheses. (arXiv:2002.07297v1 [stat.ML])
- On the Matrix-Free Generation of Adversarial Perturbations for Black-Box Attacks. (arXiv:2002.07317v1 [cs.LG])
- Federated Extra-Trees with Privacy Preserving. (arXiv:2002.07323v1 [cs.LG])
- Stabilities of Shape Identification Inverse Problems in a Bayesian Framework. (arXiv:2002.07337v1 [math.ST])
- A Distributionally Robust Area Under Curve Maximization Model. (arXiv:2002.07345v1 [math.OC])
- Adaptive Region-Based Active Learning. (arXiv:2002.07348v1 [cs.LG])
- Correlation-aware Deep Generative Model for Unsupervised Anomaly Detection. (arXiv:2002.07349v1 [cs.LG])
- Distributional Sliced-Wasserstein and Applications to Generative Modeling. (arXiv:2002.07367v1 [stat.ML])
- Post-selection inference on high-dimensional varying-coefficient quantile regression model. (arXiv:2002.07370v1 [stat.ME])
- Generalized Neural Policies for Relational MDPs. (arXiv:2002.07375v1 [cs.LG])
- Picking Winning Tickets Before Training by Preserving Gradient Flow. (arXiv:2002.07376v1 [cs.LG])
- Data Transformation Insights in Self-supervision with Clustering Tasks. (arXiv:2002.07384v1 [stat.ML])
- Failout: Achieving Failure-Resilient Inference in Distributed Neural Networks. (arXiv:2002.07386v1 [cs.LG])
- Quantum Implementation of Risk Analysis-relevant Copulas. (arXiv:2002.07389v1 [stat.ME])
- Distributed Non-Convex Optimization with Sublinear Speedup under Intermittent Client Availability. (arXiv:2002.07399v1 [stat.ML])
- Learning Parities with Neural Networks. (arXiv:2002.07400v1 [cs.LG])
- Deflecting Adversarial Attacks. (arXiv:2002.07405v1 [cs.LG])
- Foundations of Structural Statistics: Statistical Manifolds. (arXiv:2002.07424v1 [math.ST])
- Estimating the Penalty Level of $\ell_{1}$-minimization via Two Gaussian Approximation Methods. (arXiv:2002.07433v1 [math.ST])
- Consistency of $\ell _{1}$ Penalized Negative Binomial Regressions. (arXiv:2002.07441v1 [math.ST])
- Distributed Optimization over Block-Cyclic Data. (arXiv:2002.07454v1 [cs.LG])
- Deep Gaussian Markov random fields. (arXiv:2002.07467v1 [stat.ML])
- A Neural Network Based on First Principles. (arXiv:2002.07469v1 [stat.ML])
- Managing multiple data streams in R. (arXiv:2002.07472v1 [stat.CO])
- ESG investments: Filtering versus machine learning approaches. (arXiv:2002.07477v1 [q-fin.GN])
- MapLUR: Exploring a new Paradigm for Estimating Air Pollution using Deep Learning on Map Images. (arXiv:2002.07493v1 [cs.LG])
- A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models. (arXiv:2002.07501v1 [stat.ML])
- Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs. (arXiv:2002.07518v1 [cs.LG])
- Gradient $\ell_1$ Regularization for Quantization Robustness. (arXiv:2002.07520v1 [cs.LG])
- A Computationally Efficient Neural Network Invariant to the Action of Symmetry Subgroups. (arXiv:2002.07528v1 [cs.LG])
- Improved Optimistic Algorithms for Logistic Bandits. (arXiv:2002.07530v1 [cs.LG])
- Coordination without communication: optimal regret in two players multi-armed bandits. (arXiv:2002.07596v1 [cs.GT])
- A confidence interval robust to publication bias for random-effects meta-analysis of few studies. (arXiv:2002.07598v1 [stat.ME])
- ADMM-based Decoder for Binary Linear Codes Aided by Deep Learning. (arXiv:2002.07601v1 [cs.IT])
- A comprehensive review on convolutional neural network in machine fault diagnosis. (arXiv:2002.07605v1 [eess.SP])
- An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization. (arXiv:2002.07613v1 [cs.CV])
- Algorithms for Hiring and Outsourcing in the Online Labor Market. (arXiv:2002.07618v1 [math.OC])
- Adaptive minimax testing in inverse Gaussian sequence space models. (arXiv:2002.07623v1 [math.ST])
- Optimal Structured Principal Subspace Estimation: Metric Entropy and Minimax Rates. (arXiv:2002.07624v1 [math.ST])
- Multi-Task Siamese Neural Network for Improving Replay Attack Detection. (arXiv:2002.07629v1 [eess.AS])
- Wireless Power Control via Counterfactual Optimization of Graph Neural Networks. (arXiv:2002.07631v1 [eess.SP])
- Conditional Mutual information-based Contrastive Loss for Financial Time Series Forecasting. (arXiv:2002.07638v1 [cs.LG])
- Uncertainty in Structured Prediction. (arXiv:2002.07650v1 [stat.ML])
- Gravitational-wave parameter estimation with autoregressive neural network flows. (arXiv:2002.07656v1 [astro-ph.IM])
- Are You Sure You're Sure? -- Effects of Visual Representation on the Cliff Effect in Statistical Inference. (arXiv:2002.07671v1 [stat.OT])
- Network Theoretic Analysis of Maximum a Posteriori Detectors for Sensor Analysis and Design. (arXiv:2002.07673v1 [math.OC])
- A Resolution in Algorithmic Fairness: Calibrated Scores for Fair Classifications. (arXiv:2002.07676v1 [cs.LG])
- Deep Neural Networks for the Correction of Mie Scattering in Fourier-Transformed Infrared Spectra of Biological Samples. (arXiv:2002.07681v1 [cs.LG])
- How to Solve Fair $k$-Center in Massive Data Models. (arXiv:2002.07682v1 [cs.DS])
- A Lagrangian Approach to Information Propagation in Graph Neural Networks. (arXiv:2002.07684v1 [cs.LG])
- Robust Quantization: One Model to Rule Them All. (arXiv:2002.07686v1 [cs.LG])
- Neural Attentive Multiview Machines. (arXiv:2002.07696v1 [cs.LG])
- Deep Learning in Medical Ultrasound Image Segmentation: a Review. (arXiv:2002.07703v1 [eess.IV])
- Reinforcement Learning for Molecular Design Guided by Quantum Mechanics. (arXiv:2002.07717v1 [stat.ML])
- Local Propagation in Constraint-based Neural Network. (arXiv:2002.07720v1 [cs.LG])
- Adaptive Estimator Selection for Off-Policy Evaluation. (arXiv:2002.07729v1 [cs.LG])
- Individual Fairness Revisited: Transferring Techniques from Adversarial Robustness. (arXiv:2002.07738v1 [cs.LG])
- Hierarchical Correlation Clustering and Tree Preserving Embedding. (arXiv:2002.07756v1 [cs.LG])
- Asymptotic properties of Bernstein estimators on the simplex. (arXiv:2002.07758v1 [math.ST])
- Learning Bijective Feature Maps for Linear ICA. (arXiv:2002.07766v1 [cs.LG])
- The Tree Ensemble Layer: Differentiability meets Conditional Computation. (arXiv:2002.07772v1 [cs.LG])
- Estimating the travel time and the most likely path from Lagrangian drifters. (arXiv:2002.07774v1 [stat.AP])
- A flexible outlier detector based on a topology given by graph communities. (arXiv:2002.07791v1 [cs.LG])
- Latent Poisson models for networks with heterogeneous density. (arXiv:2002.07803v1 [physics.soc-ph])
- Data-Driven Symbol Detection via Model-Based Machine Learning. (arXiv:2002.07806v1 [eess.SP])
- Extremal independence old and new. (arXiv:2002.07808v1 [math.ST])
- Does Geometric Algebra provide a loophole to Bell's Theorem? (with correction note). (arXiv:1203.1504v9 [quant-ph] UPDATED)
- The triangle wave versus the cosine: How classical systems can optimally approximate EPR-B correlations. (arXiv:1312.6403v5 [quant-ph] UPDATED)
- Fitting High-Dimensional Interaction Models with Error Control. (arXiv:1510.06322v4 [stat.ME] UPDATED)
- Sample Out-Of-Sample Inference Based on Wasserstein Distance. (arXiv:1605.01340v4 [math.ST] UPDATED)
- Impossible Inference in Econometrics: Theory and Applications. (arXiv:1612.02024v5 [math.ST] UPDATED)
- Nonparametric Tests for Treatment Effect Heterogeneity with Duration Outcomes. (arXiv:1612.02090v4 [stat.ME] UPDATED)
- Causal inference for social network data. (arXiv:1705.08527v5 [stat.ME] UPDATED)
- Kumaraswamy autoregressive moving average models for double bounded environmental data. (arXiv:1710.05069v2 [stat.ME] UPDATED)
- Identifiability of Nonparametric Mixture Models and Bayes Optimal Clustering. (arXiv:1802.04397v4 [math.ST] UPDATED)
- Approximating Hamiltonian dynamics with the Nystr\"om method. (arXiv:1804.02484v4 [quant-ph] UPDATED)
- A Regularized Vector Autoregressive Hidden Semi-Markov Model, with Application to Multivariate Financial Data. (arXiv:1804.10308v3 [stat.AP] UPDATED)
- The joint distribution of pin-point plant cover data: a reparametrized Dirichlet -- multinomial distribution. (arXiv:1808.04582v6 [q-bio.PE] UPDATED)
- Behavioural Repertoire via Generative Adversarial Policy Networks. (arXiv:1811.02945v3 [cs.LG] UPDATED)
- Sequential phase I dose-escalation trials with multiple schedules. (arXiv:1811.09433v2 [stat.AP] UPDATED)
- Minimax $L_2$-Separation Rate in Testing the Sobolev-Type Regularity of a function. (arXiv:1901.00880v3 [math.ST] UPDATED)
- Adaptive Cross-Modal Few-Shot Learning. (arXiv:1902.07104v3 [cs.LG] UPDATED)
- Hedging the Drift: Learning to Optimize under Non-Stationarity. (arXiv:1903.01461v2 [cs.LG] UPDATED)
- Generating Labels for Regression of Subjective Constructs using Triplet Embeddings. (arXiv:1904.01643v2 [stat.ML] UPDATED)
- Unsupervised Progressive Learning and the STAM Architecture. (arXiv:1904.02021v4 [cs.LG] UPDATED)
- Super-Consistent Estimation of Points of Impact in Nonparametric Regression with Functional Predictors. (arXiv:1905.09021v6 [math.ST] UPDATED)
- Repeated A/B Testing. (arXiv:1905.11797v3 [cs.LG] UPDATED)
- Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition. (arXiv:1905.12019v3 [cs.LG] UPDATED)
- Generating Contrastive Explanations with Monotonic Attribute Functions. (arXiv:1905.12698v2 [cs.LG] UPDATED)
- Mean-field Behaviour of Neural Tangent Kernel for Deep Neural Networks. (arXiv:1905.13654v5 [stat.ML] UPDATED)
- PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization. (arXiv:1905.13727v3 [cs.LG] UPDATED)
- Gradient-Based Neural DAG Learning. (arXiv:1906.02226v2 [cs.LG] UPDATED)
- Quadratic Suffices for Over-parametrization via Matrix Chernoff Bound. (arXiv:1906.03593v2 [cs.LG] UPDATED)
- Estimation of the Kronecker Covariance Model by Quadratic Form. (arXiv:1906.08908v2 [math.ST] UPDATED)
- Accelerating Metropolis-within-Gibbs sampler with localized computations of differential equations. (arXiv:1906.10541v2 [stat.CO] UPDATED)
- Demystifying Inter-Class Disentanglement. (arXiv:1906.11796v3 [cs.LG] UPDATED)
- Selection via Proxy: Efficient Data Selection for Deep Learning. (arXiv:1906.11829v3 [cs.LG] UPDATED)
- Interpretable Counterfactual Explanations Guided by Prototypes. (arXiv:1907.02584v2 [cs.LG] UPDATED)
- Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions. (arXiv:1907.02957v2 [cs.LG] UPDATED)
- A Fast Spectral Algorithm for Mean Estimation with Sub-Gaussian Rates. (arXiv:1908.04468v2 [math.ST] UPDATED)
- Meta-Learning with Warped Gradient Descent. (arXiv:1909.00025v2 [cs.LG] UPDATED)
- Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis. (arXiv:1909.01520v2 [cs.LG] UPDATED)
- On the Need for Topology-Aware Generative Models for Manifold-Based Defenses. (arXiv:1909.03334v4 [cs.LG] UPDATED)
- Learning Fair Rule Lists. (arXiv:1909.03977v2 [cs.LG] UPDATED)
- Harmonise and integrate heterogeneous areal data with the R package arealDB. (arXiv:1909.06610v2 [cs.DB] UPDATED)
- Eliminating Bias in Recommender Systems via Pseudo-Labeling. (arXiv:1910.01444v5 [cs.SI] UPDATED)
- DPSOM: Deep Probabilistic Clustering with Self-Organizing Maps. (arXiv:1910.01590v2 [cs.LG] UPDATED)
- SCALOR: Scalable Object-Oriented Sequential Generative Models. (arXiv:1910.02384v3 [cs.LG] UPDATED)
- Credible Sample Elicitation. (arXiv:1910.03155v2 [cs.LG] UPDATED)
- Full-Scale Continuous Synthetic Sonar Data Generation with Markov Conditional Generative Adversarial Networks. (arXiv:1910.06750v2 [cs.LG] UPDATED)
- The Renyi Gaussian Process: Towards Improved Generalization. (arXiv:1910.06990v3 [stat.ML] UPDATED)
- Clustering in graphs and hypergraphs with categorical edge labels. (arXiv:1910.09943v2 [cs.SI] UPDATED)
- Strategic Classification is Causal Modeling in Disguise. (arXiv:1910.10362v3 [cs.LG] UPDATED)
- Optimizer Benchmarking Needs to Account for Hyperparameter Tuning. (arXiv:1910.11758v3 [cs.LG] UPDATED)
- ARSM Gradient Estimator for Supervised Learning to Rank. (arXiv:1911.00465v2 [cs.LG] UPDATED)
- Differential Bayesian Neural Nets. (arXiv:1912.00796v2 [cs.LG] UPDATED)
- Continuous Graph Neural Networks. (arXiv:1912.00967v2 [cs.LG] UPDATED)
- Distance-Based Learning from Errors for Confidence Calibration. (arXiv:1912.01730v2 [cs.LG] UPDATED)
- Group Fairness in Bandit Arm Selection. (arXiv:1912.03802v2 [cs.LG] UPDATED)
- Continual egocentric object recognition. (arXiv:1912.05029v2 [cs.CV] UPDATED)
- Estimating high-resolution Red sea surface temperature hotspots, using a low-rank semiparametric spatial model. (arXiv:1912.05657v2 [stat.AP] UPDATED)
- Risk of the Least Squares Minimum Norm Estimator under the Spike Covariance Model. (arXiv:1912.13421v2 [stat.ML] UPDATED)
- Reformer: The Efficient Transformer. (arXiv:2001.04451v2 [cs.LG] UPDATED)
- Machine learning transfer efficiencies for noisy quantum walks. (arXiv:2001.05472v2 [quant-ph] UPDATED)
- PCGRL: Procedural Content Generation via Reinforcement Learning. (arXiv:2001.09212v2 [cs.LG] UPDATED)
- Tractable Reinforcement Learning of Signal Temporal Logic Objectives. (arXiv:2001.09467v2 [cs.LG] UPDATED)
- Residual Tangent Kernels. (arXiv:2001.10460v3 [cs.LG] UPDATED)
- Evidence of distrust and disorientation towards immunization on online social media after contrasting political communication on vaccines. Results from an analysis of Twitter data in Italy. (arXiv:2002.00846v3 [cs.SI] UPDATED)
- Better Theory for SGD in the Nonconvex World. (arXiv:2002.03329v2 [math.OC] UPDATED)
- A Diffusion Theory for Deep Learning Dynamics: Stochastic Gradient Descent Escapes From Sharp Minima Exponentially Fast. (arXiv:2002.03495v2 [cs.LG] UPDATED)
- Random Smoothing Might be Unable to Certify $\ell_\infty$ Robustness for High-Dimensional Images. (arXiv:2002.03517v2 [cs.LG] UPDATED)
- Unsupervised Discovery of Interpretable Directions in the GAN Latent Space. (arXiv:2002.03754v2 [cs.LG] UPDATED)
- Differentiable Graph Module (DGM) Graph Convolutional Networks. (arXiv:2002.04999v2 [cs.LG] UPDATED)
- Latent Variable Modelling with Hyperbolic Normalizing Flows. (arXiv:2002.06336v2 [cs.LG] UPDATED)
- Differentiable Top-k Operator with Optimal Transport. (arXiv:2002.06504v2 [cs.LG] UPDATED)
- Controlled time series generation for automotive software-in-the-loop testing using GANs. (arXiv:2002.06611v2 [cs.LG] UPDATED)
- Learning Robust Representations via Multi-View Information Bottleneck. (arXiv:2002.07017v2 [cs.LG] UPDATED)
- Transmission and navigation on disordered lattice networks, directed spanning forests and scaling limits. (arXiv:2002.06898v1 [math.PR] CROSS LISTED)