Smoothing

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Period ending 2026-09-14

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MiNCE: Nonparametric, Strongly Consistent Confidence Envelopes for Band-Limited Functions and their Smoothed Spectra
Sep 8, 2026Balázs Csanád Csáji, Bálint HorváthExponential Family Confidence Intervals
Structured Extrema Errors in Classical Surrogates for Viscous Burgers: A Physics-Consistent Interpretation
Sep 7, 2026Youssef OubariSurrogate Modeling Shallow Water Equations
Clustered Randomized Smoothing for Stochastic Prediction Functions
Aug 12, 2026Eduardo Figueiredo, Frederik Mathiesen, Julian Schumann +3Smoothing Stochastic
Hierarchical Empirical-Bayes Naive Bayes: Minimax Smoothing and Calibration with AODE Extension
Aug 11, 2026Nguyen Thai Anh, Truong Viet Vu, Tran Thien Thanh +2Bayesian Learning Bayesian Inference Approaches
LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN
Aug 10, 2026Killian Cressant, Pedro B. VellosoGraph Neural Networks Personalized Pagerank
Generalized Convexity and Smoothness via Conjugate Duality: Optimization Theory for Deep Neural Networks
Aug 10, 2026Binchuan QiGradient Descent Convex Optimization
Staying True to the Origin: Continuous Image Stylization with Smooth Transitions
Aug 8, 2026Rui Xu, Hanmo Zhang, Songhua LiuPhotorealistic Style Transfer Stylization
Learning to Predict Contact Force Distributions from Vision Leveraging Object Geometry Priors
Aug 1, 2026Ryo Hanai, Yukiyasu Domaea, Ixchel G. Ramirez-Alpizar +3Edge-Sdf Contacts Rigid-Body Dynamics
Persistent Gaussian Perturbations Prevent Oversmoothing in Recurrent Graph Neural Networks
Jul 30, 2026Mostafa Haghir ChehreghaniGraph Neural Networks Recurrent Neural Networks
Eviction as Estimation: A Fixed-Lag Smoothing View of Test-Time Memory, and When Measuring Beats Accumulating
Jul 27, 2026Maruthi Vemula, Neeraj Praneeth GajulaWorking Memory Eviction
XMix: Combating Extremely Noisy Labels via Local Smoothness in Self-Supervised Feature Space
Jul 26, 2026Chengqi Li, Yangdi Lu, Zhihao Shi +3Noisy Labels Semi-Supervised Learning
Local Stability and Gaussian Smoothing of Quantized Neural Networks
Jul 22, 2026Sergey Salishev, Anton Makarov, Oleg GranichinSmoothing Neural Model
What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity
Jul 16, 2026Kumar Kshitij Patel, Rustem Islamov, Sebastian U Stich +3Stochastic Gradient Descent Convex Optimization
Adaptive MPPI with Online Disturbance Covariance Estimation: Provable Stability Tightening via Spatial Smoothing
Jul 9, 2026Hyung-Jin Yoon, Hunmin KimModel Predictive Path Integral Lyapunov Function
A Function-Space Dichotomy for Compositional Learning: Exponential Sub-Optimality of the Neural Tangent Kernel
Jul 7, 2026Arkaprabha Ganguli, Emil ConstantinescuNeural Tangent Kernel Rectified Linear Unit Networks
Boundary-layer asymptotics for Gaussian-smoothed singular measures
Jul 5, 2026Nicolas Brosse, Arnak S. DalalyanRegularity Regularization Methods
Integrated Graph Search and Model Predictive Control for Smooth and Efficient Path Planning in Autonomous Vehicles
Jul 5, 2026Duc-Tien Bui, Ngoc Thinh Nguyen, Hung Duy Nguyen +3Efficient Path Planning Vehicle Dynamics
Smooth $\%$ MinMax: A Differentiable Relaxation for Codon HarmonizationSmooth \%MinMax: A Differentiable Relaxation for Codon Harmonization
Jul 4, 2026Yoonho Jeong, Hyunwoo Choi, Ryan Fernandez Medina Hariri +3Feature Alignment Differentiable Relaxation
Loss Smoothing for Stable Adaptation Under Distribution Shift
Jul 1, 2026Darshan Patil, Ekaterina Lobacheva, Razvan Pascanu +1Parameter-Efficient Adaptation Distribution Shifts
Gradient Smoothing: Coupling Layer-wise Updates for Improved Optimization
Jun 29, 2026Haoming Meng, Anton Sugolov, Vardan PapyanGradcam Gradient
FedLAS: Feature-Modulated Bidirectional Label Smoothing for Neural Network Calibration
Jun 26, 2026Thiru Thillai Nadarasar Bahavan, Sachith Seneviratne, Saman HalgamugeLoss Function Smoothing
Graph Dimensionality Reduction for Contextual Bandits: Structure-Specific Regret Bounds under Approximate Smoothness and Noisy Eigenspaces
Jun 26, 2026Joyanta Jyoti Mondal, Ibne Farabi Shihab, Anuj SharmaMulti-Objective Bandits Dimensionality Reduction
Noise-Aware Boundary-Enhanced Generative Learning for Ultrasound Speckle Reduction
Jun 23, 2026Yuexi Gu, Mengqi Wu, Yongheng Sun +3Speckle Ultrasound
BLENDS: Bayesian Learning-Enhanced Deep Smoothing for GNSS-Denied Environments
Jun 21, 2026Nadav Cohen, Itzik KleinGlobal Navigation Satellite System Autonomous Navigation
LAGO Policy: Latency-Aware Asynchronous Diffusion Policies with Goal-Directed Collision-Free Planning for Smooth Manipulation
Jun 16, 2026Guowei Shi, Xupeng Xie, Yiming Luo +3Visuomotor Policy Collision-Free Trajectories
Smoothing Dark Areas in Molecular Latent Diffusion
Jun 11, 2026Xi Wang, Jiahan Li, Yuxuan Xia +3Molecular Graphs Variational Encoder
Redesigning Regularization for Effective Policy Smoothing
Jun 11, 2026Taisuke Kobayashi, Naoto YamanakaSmoothing Regularization Methods
The Hidden Power of Scaling Factor in LoRA Optimization
Jun 11, 2026Zicheng Zhang, Haoran Li, Jiaxing Wang +10Learning Rates Scaling
Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting
Jun 9, 2026Xingyu Zhang, Jingyao Wang, Xin Yu +4Smoothing
SAILS: Surrogate-based Analysis of Interactions via Local Effect Smooths
Jun 8, 2026Timo Heiß, Julia Herbinger, Bernd Bischl +1Interaction Dynamics Interaction Patterns
RRISE: Robust Radius Inference via a Surrogate Estimator
Jun 1, 2026Jong-Ik Park, Shreyas Chaudhari, Carlee Joe-Wong +1Random Forest Smoothing
Near-Optimal Pure Machine Unlearning for Smooth Strongly Convex Losses
Jun 1, 2026Matthew Regehr, Gautam Kamath, Andrew LowyMachine Unlearning Empirical Risk Minimization
Improved Guarantees for Langevin Monte Carlo with Average Smoothness
May 29, 2026Arnak S. Dalalyan, Avetik KaragulyanLangevin Dynamics Finite Time Analysis
Approximation and learning of anisotropic and mixed smooth functions by deep ReLU neural networks
May 29, 2026Yunfei Yang, Jun FanRectified Linear Unit Networks Regularity
Convergence of Steepest Descent and Adam under Non-Uniform Smoothness
May 28, 2026Sharan Vaswani, Yifan Sun, Reza BabanezhadGradient Descent Adam
Cert-LAS: Toward Certified Model Ownership Verification for Text-to-Image Diffusion Models via Layer-Adaptive Smoothing
May 28, 2026Leyi Qi, Yiming Li, Siyuan Liang +2Text-To-Image Diffusion Models Watermark Detection
FedSmoothLoRA: Toward Smoother and Faster Convergence in Federated Low-Rank Adaptation
May 28, 2026Zehao Wang, Guanglei Yang, Yihan Zeng +4Federated Fine-Tuning Wireless Foundation Models
Natural Functional Gradients for Smooth Trajectory Optimization
May 27, 2026Kisang Park, Chanwoo Kim, Kyungjae Lee +1Gradient-Based Trajectory Optimization Robotic Manipulation
Probabilistic Smoothing with Ratio-Monotone Transforms for Global Optimization
May 26, 2026Kukyoung Jang, Taehyun Cho, Junrui Zhang +2Smoothing Black-Box Optimization
Geometry Adaptive Counterfactual Distribution Learning with Diffusion-Guided Smoothing
May 25, 2026Kwangho KimConformal Inference Distributional Learning
Rao-Blackwellized Score Matching on Manifolds
May 25, 2026Divit RawalRiemannian Manifolds Manifolds
Dreaming Smoothly and Sample Efficiently with Gradient Penalized Latent Dynamics
May 21, 2026Romil V. Sonigra, P. R. KumarLatent Dynamics Latent World Models
Spectral bandits for smooth graph functions with applications in recommender systems
May 19, 2026Tomáš Kocák, Michal Valko, Rémi Munos +2Recommender Systems Bandits
A Survey of Advancing Audio Super-Resolution and Bandwidth Extension from Discriminative to Generative Models
May 15, 2026Ningyuan Yang, Yize Li, Diego A. Cuji +4Real-World Image Super-Resolution Generative Models
Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing
May 15, 2026Zeji Yi, Chaoyi Pan, Guanya Shi +1Convex Optimization Optimization Convergence Analysis
GOMA: Toward Structure-Driven Multimodal Alignment from a Graph Signal Smoothing Perspective
May 15, 2026Xu Wang, Xunkai Li, Yinlin Zhu +2Multimodal Alignment Multimodal Graph
Semantic Smoothing via Novel View Synthesis for Robust SAR Image Classification
May 15, 2026Daniel Brignac, Fengwei Tian, Banafsheh Latibari +2Synthetic Aperture Radar Real-Time Semantic Segmentation
Beyond Bounded Variance: Variance-Reduced Normalized Methods for Nonconvex Optimization under Blum-Gladyshev Noise
May 14, 2026Antesh Upadhyay, Arda Fazla, Abolfazl HashemiConvex Optimization Nonconvex
Training-Free Generative Sampling via Moment-Matched Score Smoothing
May 14, 2026Zhenyu Yao, Daniel PaulinScore-Based Diffusion Model Langevin Dynamics
Support-Conditioned Flow Matching Is Kernel Smoothing
May 13, 2026Daniel Matsui SmolaConditional Flow Matching Smoothing
Certified Robustness under Heterogeneous Perturbations via Hybrid Randomized Smoothing
May 13, 2026Blaise Delattre, Hengyu Wu, Paul Caillon +2Smoothing Safety Filters
Adaptive Smooth Tchebycheff Attention for Multi-Objective Policy Optimization
May 12, 2026Alejandro Murillo-Gonzalez, Mahmoud Ali, Lantao LiuMulti-Objective Reinforcement Learning Gradient-Based Trajectory Optimization
Stable and Near-Reversible Diffusion ODE Solvers for Image Editing
May 12, 2026Barbora Barancikova, Daniil Shmelev, Cristopher SalviDiffusion Editing Image Editing
Guaranteed Jailbreaking Defense via Disrupt-and-Rectify Smoothing
May 11, 2026Zheng Lin, Zhenxing Niu, Haoxuan Ji +1Large Language Model Jailbreaks Jailbreaks
Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging
May 11, 2026Guisong Liu, Xin Gao, Martin Dresler +2Sleep Stage Classification Sleep
Towards Scalable Persistence-Based Topological Optimization
May 9, 2026Abderrahim Bendahi, Alexandre Duplessis, Arnaud FickingerTopology Optimization Persistent Homology
Fitting Is Not Enough: Smoothness in Extremely Quantized LLMs
May 9, 2026Yuzhuang Xu, Xu Han, Yuxuan Li +2Large Language Model Quantization Low-Bit Quantization
ReST-KV: Robust KV Cache Eviction with Layer-wise Output Reconstruction and Spatial-Temporal Smoothing
May 9, 2026Yongqi An, Chang Lu, Kuan Zhu +5Key-Value Cache Eviction Efficient Long-Context Inference
A Unified Lyapunov-IQC Framework for Uniform Stability of Smooth Quadratic First-Order Accelerated Optimizers
May 8, 2026Don Li, Dacian DaescuLyapunov Function Convex Optimization
Sink vs. diagonal patterns as mechanisms for attention switch and oversmoothing prevention
May 8, 2026Peter Súkeník, Cristina López Amado, Christoph H. Lampert +1Smoothing

Sep 8, 2026 · math.STJ/K move · Enter open · S save

MiNCE: Nonparametric, Strongly Consistent Confidence Envelopes for Band-Limited Functions and their Smoothed Spectra

Balázs Csanád Csáji, Bálint Horváth

Minimum-norm confidence envelope strategies offer a nonparametric approach to constructing nonasymptotic, simultaneous confidence regions for band-limited functions, exploiting the theory of Reproducing Kernel Hilbert Spaces (RKHS). While the finite-sample coverage guarantees of these envelopes have been established, their consistency has not been analyzed so far. In this paper, we study this construction, here termed the Minimum-Norm Confidence Envelope (MiNCE) framework, and establish the strong uniform consistency of the resulting bands, both for noise-free and noisy observation models, under mild assumptions on the measurement noises. We further extend this formulation to the frequency domain, deriving nonasymptotic, simultaneous, strongly uniformly consistent confidence bands for the smoothed spectra. Numerical experiments in nonparametric regression and spectral estimation empirically confirm our theoretical results, illustrating the contraction of the confidence envelopes toward the target function as the sample size increases.

Exponential Family Confidence Intervals Reproducing Kernel Hilbert Spaces Smoothing

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