Showing 241–260 of 1,000 results
/ Date/ Name
Jul 12, 2025Optimal Differentially Private Ranking from Pairwise ComparisonsJun 9, 2025Information-Theoretic Framework for Understanding Modern Machine-LearningJun 5, 2025Regret-Optimal Q-Learning with Low Cost for Single-Agent and Federated Reinforcement LearningJun 4, 2025Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairnessJun 4, 2025N$^2$: A Unified Python Package and Test Bench for Nearest Neighbor-Based Matrix CompletionMay 30, 2025Tensor Network for Anomaly Detection in the Latent Space of Proton Collision Events at the LHCMay 28, 2025Revisiting Group Relative Policy Optimization: Insights into On-Policy and Off-Policy TrainingMay 25, 2025CMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial CorrelationsMay 23, 2025On Theoretical Identifiability of Discrete Latent Causal Graphical ModelsMay 21, 2025Neural Collapse is Globally Optimal in Deep Regularized ResNets and TransformersMay 20, 2025Scale-invariant AttentionMay 20, 2025From stability of Langevin diffusion to convergence of proximal MCMC for non-log-concave samplingMay 18, 2025Modeling Nonstationary Extremal Dependence via Deep Spatial DeformationsMay 18, 2025Neural Thermodynamics: Entropic Forces in Deep and Universal Representation LearningMay 16, 2025NeuralSurv: Deep Survival Analysis with Bayesian Uncertainty QuantificationMay 12, 2025OLinear: A Linear Model for Time Series Forecasting in Orthogonally Transformed DomainMay 11, 2025Efficient Machine Unlearning by Model Splitting and Core Sample SelectionApr 29, 2025Evolution of Gaussians in the Hellinger-Kantorovich-Boltzmann gradient flowApr 22, 2025Riemannian Neural Geodesic InterpolantApr 3, 2025Online Multivariate Regularized Distributional Regression for High-dimensional Probabilistic Electricity Price Forecasting