- Generalised Bayes Updates with $f$-divergences through Probabilistic Classifiers. (arXiv:2007.04358v1 [stat.ME])
- Contour Models for Boundaries Enclosing Star-Shaped and Approximately Star-Shaped Polygons. (arXiv:2007.04386v1 [stat.ME])
- Double spike Dirichlet priors for structured weighting. (arXiv:2007.04387v1 [stat.ME])
- Adaptive Regret for Control of Time-Varying Dynamics. (arXiv:2007.04393v1 [cs.LG])
- Hierarchical Graph Matching Networks for Deep Graph Similarity Learning. (arXiv:2007.04395v1 [cs.LG])
- Network Modelling of Criminal Collaborations with Dynamic Bayesian Steady Evolutions. (arXiv:2007.04410v1 [cs.SI])
- Understanding the effect of hyperparameter optimization on machine learning models for structure design problems. (arXiv:2007.04431v1 [cs.LG])
- Collapsing Bandits and Their Application to Public Health Interventions. (arXiv:2007.04432v1 [cs.LG])
- Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction. (arXiv:2007.04439v1 [cs.LG])
- On the relationship between class selectivity, dimensionality, and robustness. (arXiv:2007.04440v1 [cs.LG])
- Sparse Regression for Extreme Values. (arXiv:2007.04441v1 [stat.ME])
- Minimax Efficient Finite-Difference Stochastic Gradient Estimators Using Black-Box Function Evaluations. (arXiv:2007.04443v1 [math.ST])
- Estimation and inference on high-dimensional individualized treatment rule in observational data using split-and-pooled de-correlated score. (arXiv:2007.04445v1 [stat.ME])
- StructureBoost: Efficient Gradient Boosting for Structured Categorical Variables. (arXiv:2007.04446v1 [stat.ML])
- Online probabilistic label trees. (arXiv:2007.04451v1 [cs.LG])
- Robust Bayesian Classification Using an Optimistic Score Ratio. (arXiv:2007.04458v1 [cs.LG])
- Meta-Learning One-Class Classification with DeepSets: Application in the Milky Way. (arXiv:2007.04459v1 [cs.LG])
- Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks. (arXiv:2007.04462v1 [cs.LG])
- URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks. (arXiv:2007.04466v1 [cs.LG])
- Finite mixture models are typically inconsistent for the number of components. (arXiv:2007.04470v1 [math.ST])
- Evaluation of Adversarial Training on Different Types of Neural Networks in Deep Learning-based IDSs. (arXiv:2007.04472v1 [cs.LG])
- Automatic Probe Movement Guidance for Freehand Obstetric Ultrasound. (arXiv:2007.04480v1 [eess.IV])
- Transparency Tools for Fairness in AI (Luskin). (arXiv:2007.04484v1 [cs.LG])
- Making learning more transparent using conformalized performance prediction. (arXiv:2007.04486v1 [stat.ML])
- Learning Differential Equations that are Easy to Solve. (arXiv:2007.04504v1 [cs.LG])
- Supervised Robust Profile Clustering. (arXiv:2007.04509v1 [stat.AP])
- Causal Effects in Twin Studies: the Role of Interference. (arXiv:2007.04511v1 [stat.ME])
- Robust Geodesic Regression. (arXiv:2007.04518v1 [stat.ML])
- Higher-order methods for convex-concave min-max optimization and monotone variational inequalities. (arXiv:2007.04528v1 [math.OC])
- A Study of Gradient Variance in Deep Learning. (arXiv:2007.04532v1 [cs.LG])
- Contrastive Multiple Correspondence Analysis (cMCA): Applying the Contrastive Learning Method to Identify Political Subgroups. (arXiv:2007.04540v1 [cs.SI])
- Wandering Within a World: Online Contextualized Few-Shot Learning. (arXiv:2007.04546v1 [cs.LG])
- On Optimal Uniform Concentration Inequalities for Discrete Entropy in the High-dimensional Setting. (arXiv:2007.04547v1 [math.PR])
- Time Series Analysis of COVID-19 Infection Curve: A Change-Point Perspective. (arXiv:2007.04553v1 [econ.EM])
- Beyond Scalar Treatment: A Causal Analysis of Hippocampal Atrophy on Behavioral Deficits in Alzheimer's Studies. (arXiv:2007.04558v1 [stat.AP])
- Learning to Bid Optimally and Efficiently in Adversarial First-price Auctions. (arXiv:2007.04568v1 [cs.LG])
- Graph Convolutional Networks for Graphs Containing Missing Features. (arXiv:2007.04583v1 [cs.LG])
- $K$-Means and Gaussian Mixture Modeling with a Separation Constraint. (arXiv:2007.04586v1 [stat.CO])
- InfoMax-GAN: Improved Adversarial Image Generation via Information Maximization and Contrastive Learning. (arXiv:2007.04589v1 [cs.LG])
- Learning Over-Parametrized Two-Layer ReLU Neural Networks beyond NTK. (arXiv:2007.04596v1 [cs.LG])
- Building an Automated Gesture Imitation Game for Teenagers with ASD. (arXiv:2007.04604v1 [cs.HC])
- Concept Bottleneck Models. (arXiv:2007.04612v1 [cs.LG])
- Federated Learning of User Authentication Models. (arXiv:2007.04618v1 [cs.LG])
- Maximum-and-Concatenation Networks. (arXiv:2007.04630v1 [cs.LG])
- IALE: Imitating Active Learner Ensembles. (arXiv:2007.04637v1 [cs.LG])
- A Policy Gradient Method for Task-Agnostic Exploration. (arXiv:2007.04640v1 [cs.LG])
- Probabilistic Value Selection for Space Efficient Model. (arXiv:2007.04641v1 [cs.LG])
- Learning to Teach with Deep Interactions. (arXiv:2007.04649v1 [cs.LG])
- Untapped Potential of Data Augmentation: A Domain Generalization Viewpoint. (arXiv:2007.04662v1 [cs.LG])
- Resource Aware Multifidelity Active Learning for Efficient Optimization. (arXiv:2007.04674v1 [cs.LG])
- Training Restricted Boltzmann Machines with Binary Synapses using the Bayesian Learning Rule. (arXiv:2007.04676v1 [cs.LG])
- Open Data Quality Evaluation: A Comparative Analysis of Open Data in Latvia. (arXiv:2007.04697v1 [cs.DB])
- Structural Gaussian mixture vector autoregressive model. (arXiv:2007.04713v1 [econ.EM])
- EVO-RL: Evolutionary-Driven Reinforcement Learning. (arXiv:2007.04725v1 [cs.LG])
- Supplemental Studies for Simultaneous Goodness-of-Fit Testing. (arXiv:2007.04727v1 [stat.AP])
- Let the Data Choose its Features: Differentiable Unsupervised Feature Selection. (arXiv:2007.04728v1 [cs.LG])
- Fast Variational Learning in State-Space Gaussian Process Models. (arXiv:2007.04731v1 [cs.LG])
- Racial Impact on Infections and Deaths due to COVID-19 in New York City. (arXiv:2007.04743v1 [q-bio.PE])
- Recurrent Neural-Linear Posterior Sampling for Non-Stationary Contextual Bandits. (arXiv:2007.04750v1 [cs.LG])
- A Bivariate Compound Dynamic Contagion Process for Cyber Insurance. (arXiv:2007.04758v1 [q-fin.RM])
- Expressivity of Deep Neural Networks. (arXiv:2007.04759v1 [cs.LG])
- Non-proportional hazards in immuno-oncology: is an old perspective needed?. (arXiv:2007.04767v1 [stat.AP])
- Self-supervised edge features for improved Graph Neural Network training. (arXiv:2007.04777v1 [eess.IV])
- Neural Architecture Search with GBDT. (arXiv:2007.04785v1 [cs.LG])
- MO-PaDGAN: Generating Diverse Designs with Multivariate Performance Enhancement. (arXiv:2007.04790v1 [cs.LG])
- varTestnlme: Variance Components Testing in Linear and Nonlinear Mixed-effects Models. (arXiv:2007.04791v1 [stat.ME])
- Statistical shape analysis of brain arterial networks (BAN). (arXiv:2007.04793v1 [cs.CV])
- Dissimilarity functions for rank-based hierarchical clustering of continuous variables. (arXiv:2007.04799v1 [stat.ME])
- When Humans and Machines Make Joint Decisions: A Non-Symmetric Bandit Model. (arXiv:2007.04800v1 [cs.LG])
- Online Approximate Bayesian learning. (arXiv:2007.04803v1 [stat.ML])
- Client Adaptation improves Federated Learning with Simulated Non-IID Clients. (arXiv:2007.04806v1 [cs.LG])
- Graph-Based Continual Learning. (arXiv:2007.04813v1 [stat.ML])
- Fast Transformers with Clustered Attention. (arXiv:2007.04825v1 [cs.LG])
- Improving the Robustness of Trading Strategy Backtesting with Boltzmann Machines and Generative Adversarial Networks. (arXiv:2007.04838v1 [cs.LG])
- Physics-inspired forms of the Bayesian Cram\'er-Rao bound. (arXiv:2007.04849v1 [quant-ph])
- Subject-Aware Contrastive Learning for Biosignals. (arXiv:2007.04871v1 [cs.LG])
- Invertible Zero-Shot Recognition Flows. (arXiv:2007.04873v1 [cs.LG])
- Multinomial Logit Bandit with Low Switching Cost. (arXiv:2007.04876v1 [cs.LG])
- Guiding Deep Molecular Optimization with Genetic Exploration. (arXiv:2007.04897v1 [q-bio.QM])
- GAMA: a General Automated Machine learning Assistant. (arXiv:2007.04911v1 [cs.LG])
- Influence Diagram Bandits: Variational Thompson Sampling for Structured Bandit Problems. (arXiv:2007.04915v1 [cs.LG])
- Graph Neural Network Based Coarse-Grained Mapping Prediction. (arXiv:2007.04921v1 [q-bio.QM])
- Learning Graph Structure With A Finite-State Automaton Layer. (arXiv:2007.04929v1 [cs.LG])
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning. (arXiv:2007.04938v1 [cs.LG])
- Adding experimental treatment arms to Multi-Arm Multi-Stage platform trials in progress. (arXiv:2007.04951v1 [stat.AP])
- Bayesian Computation in Dynamic Latent Factor Models. (arXiv:2007.04956v1 [stat.ME])
- A Study on Encodings for Neural Architecture Search. (arXiv:2007.04965v1 [cs.LG])
- Prostate motion modelling using biomechanically-trained deep neural networks on unstructured nodes. (arXiv:2007.04972v1 [cs.LG])
- Contrastive Code Representation Learning. (arXiv:2007.04973v1 [cs.LG])
- One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control. (arXiv:2007.04976v1 [cs.LG])
- Organic direct and indirect effects with post-treatment common causes of mediator and outcome. (arXiv:1510.02753v2 [stat.ME] UPDATED)
- Nonlinear spectral analysis: A local Gaussian approach. (arXiv:1708.02166v4 [stat.ME] UPDATED)
- On Estimation of $L_{r}$-Norms in Gaussian White Noise Models. (arXiv:1710.03863v5 [math.ST] UPDATED)
- Minimax estimation in linear models with unknown design over finite alphabets. (arXiv:1711.04145v3 [math.ST] UPDATED)
- Rare Feature Selection in High Dimensions. (arXiv:1803.06675v2 [stat.ME] UPDATED)
- Anchored Bayesian Gaussian Mixture Models. (arXiv:1805.08304v4 [stat.ME] UPDATED)
- Maximum Likelihood Estimation for Totally Positive Log-Concave Densities. (arXiv:1806.10120v3 [math.ST] UPDATED)
- Minimizing Sensitivity to Model Misspecification. (arXiv:1807.02161v3 [econ.EM] UPDATED)
- Bayesian Hierarchical Modeling on Covariance Valued Data. (arXiv:1811.00724v4 [stat.AP] UPDATED)
- A Speech Act Classifier for Persian Texts and its Application in Identify Speech Act of Rumors. (arXiv:1901.03904v3 [cs.CL] UPDATED)
- Time series models for realized covariance matrices based on the matrix-F distribution. (arXiv:1903.12077v2 [math.ST] UPDATED)
- Variational Bayes for high-dimensional linear regression with sparse priors. (arXiv:1904.07150v2 [stat.ME] UPDATED)
- Estimating Average Treatment Effects Utilizing Fractional Imputation when Confounders are Subject to Missingness. (arXiv:1905.11497v2 [stat.ME] UPDATED)
- Greedy clustering of count data through a mixture of multinomial PCA. (arXiv:1909.00721v2 [stat.ME] UPDATED)
- Smooth Contextual Bandits: Bridging the Parametric and Non-differentiable Regret Regimes. (arXiv:1909.02553v3 [stat.ML] UPDATED)
- Restricted Minimum Error Entropy Criterion for Robust Classification. (arXiv:1909.02707v4 [cs.LG] UPDATED)
- Attraction-Repulsion Actor-Critic for Continuous Control Reinforcement Learning. (arXiv:1909.07543v3 [cs.LG] UPDATED)
- Efficient Graph Generation with Graph Recurrent Attention Networks. (arXiv:1910.00760v2 [cs.LG] UPDATED)
- How Does Topology of Neural Architectures Impact Gradient Propagation and Model Performance?. (arXiv:1910.00780v2 [stat.ML] UPDATED)
- Improving Sample Efficiency in Model-Free Reinforcement Learning from Images. (arXiv:1910.01741v3 [cs.LG] UPDATED)
- Energy-Aware Neural Architecture Optimization with Fast Splitting Steepest Descent. (arXiv:1910.03103v3 [cs.LG] UPDATED)
- Estimation of Bounds on Potential Outcomes For Decision Making. (arXiv:1910.04817v2 [cs.LG] UPDATED)
- Sparsification as a Remedy for Staleness in Distributed Asynchronous SGD. (arXiv:1910.09466v2 [cs.LG] UPDATED)
- Embedding and learning with signatures. (arXiv:1911.13211v2 [stat.ML] UPDATED)
- Provable Self-Play Algorithms for Competitive Reinforcement Learning. (arXiv:2002.04017v3 [cs.LG] UPDATED)
- Implicit Geometric Regularization for Learning Shapes. (arXiv:2002.10099v2 [cs.LG] UPDATED)
- Closing the convergence gap of SGD without replacement. (arXiv:2002.10400v6 [cs.LG] UPDATED)
- Train by Reconnect: Decoupling Locations of Weights from their Values. (arXiv:2003.02570v5 [cs.LG] UPDATED)
- Learning distributed representations of graphs with Geo2DR. (arXiv:2003.05926v3 [cs.LG] UPDATED)
- Adaptive Personalized Federated Learning. (arXiv:2003.13461v2 [cs.LG] UPDATED)
- Faithful Embeddings for Knowledge Base Queries. (arXiv:2004.03658v2 [cs.LG] UPDATED)
- A logic-based resampling with matching approach to multiple imputation of missing data. (arXiv:2004.06630v2 [stat.ME] UPDATED)
- Energy Balancing of Covariate Distributions. (arXiv:2004.13962v2 [stat.ME] UPDATED)
- Is Long Horizon Reinforcement Learning More Difficult Than Short Horizon Reinforcement Learning?. (arXiv:2005.00527v2 [cs.LG] UPDATED)
- Continual Learning Using Task Conditional Neural Networks. (arXiv:2005.05080v2 [cs.LG] UPDATED)
- Robustness Verification for Classifier Ensembles. (arXiv:2005.05587v2 [cs.LG] UPDATED)
- Locally Differentially Private (Contextual) Bandits Learning. (arXiv:2006.00701v2 [cs.LG] UPDATED)
- Set-Invariant Constrained Reinforcement Learning with a Meta-Optimizer. (arXiv:2006.11419v2 [cs.LG] UPDATED)
- Learned Uncertainty-Aware (LUNA) Bases for Bayesian Regression using Multi-Headed Auxiliary Networks. (arXiv:2006.11695v2 [stat.ML] UPDATED)
- Multi-view Drone-based Geo-localization via Style and Spatial Alignment. (arXiv:2006.13681v2 [cs.CV] UPDATED)
- Intrinsic Reward Driven Imitation Learning via Generative Model. (arXiv:2006.15061v2 [cs.LG] UPDATED)
- Is Japanese gendered language used on Twitter ? A large scale study. (arXiv:2006.15935v2 [cs.CL] UPDATED)
- An Empirical Bayes Approach to Shrinkage Estimation on the Manifold of Symmetric Positive-Definite Matrices. (arXiv:2007.02153v2 [math.ST] UPDATED)
- Deep Active Learning via Open Set Recognition. (arXiv:2007.02196v2 [cs.LG] UPDATED)
- Covariate Distribution Aware Meta-learning. (arXiv:2007.02523v2 [cs.LG] UPDATED)
- The FMRIB Variational Bayesian Inference Tutorial II: Stochastic Variational Bayes. (arXiv:2007.02725v2 [stat.ME] UPDATED)
- Relaxed Conformal Prediction Cascades for Efficient Inference Over Many Labels. (arXiv:2007.03114v2 [cs.LG] UPDATED)
- Are Ensemble Classifiers Powerful Enough for the Detection and Diagnosis of Intermediate-Severity Faults?. (arXiv:2007.03167v2 [cs.LG] UPDATED)
- Hierarchical nucleation in deep neural networks. (arXiv:2007.03506v2 [cs.CV] UPDATED)
- A Federated F-score Based Ensemble Model for Automatic Rule Extraction. (arXiv:2007.03533v2 [cs.LG] UPDATED)
- One-Bit Compressed Sensing via One-Shot Hard Thresholding. (arXiv:2007.03641v2 [cs.LG] UPDATED)
- Transfer Learning for Electricity Price Forecasting. (arXiv:2007.03762v2 [eess.SP] UPDATED)
- Unbiased Lift-based Bidding System. (arXiv:2007.04002v2 [cs.LG] UPDATED)
- Graph Neural Networks for the Prediction of Substrate-Specific Organic Reaction Conditions. (arXiv:2007.04275v2 [cs.LG] UPDATED)