- A Kernel Two-sample Test for Dynamical Systems - 2004.11098
- Predictive inference for travel time on transportation networks - 2004.11292
- Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming - 2004.11408
- How to find a unicorn: a novel model-free, unsupervised anomaly detection method for time series - 2004.11468
- Beyond Data Samples: Aligning Differential Networks Estimation with Scientific Knowledge - 2004.11494
- Nonconvex regularization for sparse neural networks - 2004.11515
- A Comparison of Methods for Treatment Assignment with an Application to Playlist Generation - 2004.11532
- Estimating the Lasso's Effective Noise - 2004.11554
- Belief functions induced by random fuzzy sets: A general framework for representing uncertain and fuzzy evidence - 2004.11638
- PBCS : Efficient Exploration and Exploitation Using a Synergy between Reinforcement Learning and Motion Planning - 2004.11667
- A survey on domain adaptation theory: learning bounds and theoretical guarantees - 2004.11829
- Integrative Bayesian models using Post-selective Inference: a case study in Radiogenomics - 2004.12012
- Hardness of Random Optimization Problems for Boolean Circuits, Low-Degree Polynomials, and Langevin Dynamics - 2004.12063
- Randomized spectral co-clustering for large-scale directed networks - 2004.12164
- Dynamic Predictions of Postoperative Complications from Explainable, Uncertainty-Aware, and Multi-Task Deep Neural Networks - 2004.12551
- Representation Ensembling for Synergistic Lifelong Learning with Quasilinear Complexity - 2004.12908
- Avoiding zero probability events when computing Value at Risk contributions - 2004.13235
- Hole or grain? A Section Pursuit Index for Finding Hidden Structure in Multiple Dimensions - 2004.13327
- A two-stage prediction model for heterogeneous effects of many treatment options: application to drugs for Multiple Sclerosis - 2004.13464
- Asymptotic Properties of High-Dimensional Random Forests - 2004.13953
- Rethink the Connections among Generalization, Memorization and the Spectral Bias of DNNs - 2004.13954
- Energy Balancing of Covariate Distributions - 2004.13962
- Optimal designs for some bivariate cokriging models - 2004.13967
- Static and Dynamic Models for Multivariate Distribution Forecasts: Proper Scoring Rule Tests of Factor-Quantile vs. Multivariate GARCH Models - 2004.14108
- Towards optimal doubly robust estimation of heterogeneous causal effects - 2004.14497
- Parameter estimation for semilinear SPDEs from local measurements - 2004.14728
- Hedging and machine learning driven crude oil data analysis using a refined Barndorff-Nielsen and Shephard model - 2004.14862
- On the normalized power prior - 2004.14912
- The Grammar of Interactive Explanatory Model Analysis - 2005.00497
- Response-adaptive randomization in clinical trials: from myths to practical considerations - 2005.00564
- Neural Lyapunov Control - 2005.00611
- Bootstrapping a Powerful Mixed Portmanteau Test for Time Series - 2005.00971
- Nonparametric testing of the dependence structure among points-marks-covariates in spatial point patterns - 2005.01019
- Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold - 2005.01209
- Connecting the Dots: Numerical Randomized Hamiltonian Monte Carlo with State-Dependent Event Rates - 2005.01285
- Limit theorem associated with Wishart matrices with application to hypothesis testing for common principal components - 2005.01316
- A Finite Time Analysis of Two Time-Scale Actor Critic Methods - 2005.01350
- Confidence intervals of prediction accuracy measures for multivariable prediction models based on the bootstrap-based optimism correction methods - 2005.01457
- Depth-2 Neural Networks Under a Data-Poisoning Attack - 2005.01699
- Cross-validation based adaptive sampling for Gaussian process models - 2005.01814
- Demand-Side Scheduling Based on Multi-Agent Deep Actor-Critic Learning for Smart Grids - 2005.01979
- Adversarial Training against Location-Optimized Adversarial Patches - 2005.02313
- Adaptive Conditional Distribution Estimation with Bayesian Decision Tree Ensembles - 2005.02490
- A Metric Space for Point Process Excitations - 2005.02515
- DTR Bandit: Learning to Make Response-Adaptive Decisions With Low Regret - 2005.02791
- Exploring the Loss Landscape in Neural Architecture Search - 2005.02960
- MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation - 2005.03161
- A Locally Adaptive Interpretable Regression - 2005.03350
- Distributional robustness of K-class estimators and the PULSE - 2005.03353
- Feature Selection Methods for Uplift Modeling and Heterogeneous Treatment Effect - 2005.03447
- A stochastic user-operator assignment game for microtransit service evaluation: A case study of Kussbus in Luxembourg - 2005.03465
- Estimating customer impatience in a service system with unobserved balking - 2005.03576
- Phase Transitions of the Maximum Likelihood Estimates in the $p$-Spin Curie-Weiss Model - 2005.03631
- XEM: An Explainable-by-Design Ensemble Method for Multivariate Time Series Classification - 2005.03645
- Machine Learning on Graphs: A Model and Comprehensive Taxonomy - 2005.03675
- Proving prediction prudence - 2005.03698
- The Strong Screening Rule for SLOPE - 2005.03730
- GOBO: Quantizing Attention-Based NLP Models for Low Latency and Energy Efficient Inference - 2005.03842
- Project and Forget: Solving Large-Scale Metric Constrained Problems - 2005.03853
- Pandemic Influenza and Gender Imbalance: Mortality Selection before Births - 2005.03855
- Optimal Thinning of MCMC Output - 2005.03952
- Spectral Ranking with Covariates - 2005.04035
- Multi-Instance Multi-Label Learning for Gene Mutation Prediction in Hepatocellular Carcinoma - 2005.04073
- Incentive-Compatible Critical Values - 2005.04141
- In Pursuit of Interpretable, Fair and Accurate Machine Learning for Criminal Recidivism Prediction - 2005.04176
- Provable Training of a ReLU Gate with an Iterative Non-Gradient Algorithm - 2005.04211
- A Compound Decision Approach to Covariance Matrix Estimation - 2005.04549
- Inexact and Stochastic Generalized Conditional Gradient with Augmented Lagrangian and Proximal Step - 2005.05158
- Solving Large-Scale Sparse PCA to Certifiable (Near) Optimality - 2005.05195
- Interpretable Deep Representation Learning from Temporal Multi-view Data - 2005.05210
- On the power of conditional independence testing under model-X - 2005.05506
- The Geometry of Nonlinear Embeddings in Kernel Discriminant Analysis - 2005.05546
- Robust Lasso-Zero for sparse corruption and model selection with missing covariates - 2005.05628
- Smooth Exploration for Robotic Reinforcement Learning - 2005.05719
- High Probability Lower Bounds for the Total Variation Distance - 2005.06006
- Adaptive Double-Exploration Tradeoff for Outlier Detection - 2005.06092
- Nonparametric regression for locally stationary random fields under stochastic sampling design - 2005.06371
- On the Global Convergence Rates of Softmax Policy Gradient Methods - 2005.06392
- Conservative two-stage group testing in the linear regime - 2005.06617
- Simultaneous imputation and disease classification in incomplete medical datasets using Multigraph Geometric Matrix Completion (MGMC) - 2005.06935
- Infant Crying Detection in Real-World Environments - 2005.07036
- Efficient and Stable Algorithms to Extend Greville's Method to Partitioned Matrices Based on Inverse Cholesky Factorization - 2005.07045
- CoSimGNN: Towards Large-scale Graph Similarity Computation - 2005.07115
- Variational Inference as Iterative Projection in a Bayesian Hilbert Space - 2005.07275
- Graphical modeling of stochastic processes driven by correlated errors - 2005.07568
- On Learnability under General Stochastic Processes - 2005.07605
- SEAM methodology for context-rich player matchup evaluations - 2005.07742
- BART-based inference for Poisson processes - 2005.07927
- Efficient quantization and weak covering of high dimensional cubes - 2005.07938
- Conformal Prediction: a Unified Review of Theory and New Challenges - 2005.07972
- Robust subset selection - 2005.08217
- Marginal likelihood computation for model selection and hypothesis testing: an extensive review - 2005.08334
- Unbiased MLMC stochastic gradient-based optimization of Bayesian experimental designs - 2005.08414
- Variational Hyper-Encoding Networks - 2005.08482
- Ridges in the Dark Energy Survey for cosmic trough identification - 2005.08583
- Universalization of any adversarial attack using very few test examples - 2005.08632
- Towards Causal Inference for Spatio-Temporal Data: Conflict and Forest Loss in Colombia - 2005.08639
- Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency Maps - 2005.08874
- Necessary and sufficient conditions for asymptotically optimal linear prediction of random fields on compact metric spaces - 2005.08904
- On the number of bins in a rank histogram - 2005.09018