Saved in:
| Main Author: | Li, Naiqi |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.12527 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Sharper Perturbed-Kullback-Leibler Exponential Tail Bounds for Beta and Dirichlet Distributions
by: Perrault, Pierre
Published: (2025)
by: Perrault, Pierre
Published: (2025)
Exponential Family Attention
by: Wibisono, Kevin Christian, et al.
Published: (2025)
by: Wibisono, Kevin Christian, et al.
Published: (2025)
The Recurrent Sticky Hierarchical Dirichlet Process Hidden Markov Model
by: Słupiński, Mikołaj, et al.
Published: (2024)
by: Słupiński, Mikołaj, et al.
Published: (2024)
Diffusion Models for Inverse Problems in the Exponential Family
by: Micheli, Alessandro, et al.
Published: (2025)
by: Micheli, Alessandro, et al.
Published: (2025)
Hierarchical mixture of discriminative Generalized Dirichlet classifiers
by: Togban, Elvis, et al.
Published: (2024)
by: Togban, Elvis, et al.
Published: (2024)
Decision Making under the Exponential Family: Distributionally Robust Optimisation with Bayesian Ambiguity Sets
by: Dellaporta, Charita, et al.
Published: (2024)
by: Dellaporta, Charita, et al.
Published: (2024)
Stein's Lemma for the Reparameterization Trick with Exponential Family Mixtures
by: Lin, Wu, et al.
Published: (2019)
by: Lin, Wu, et al.
Published: (2019)
Targeted Regularization for Causal Effect Estimation with Exponential Dispersion Family Outcomes
by: Li, Jiahong, et al.
Published: (2025)
by: Li, Jiahong, et al.
Published: (2025)
Graph Laplacian Learning with Exponential Family Noise
by: Shi, Changhao, et al.
Published: (2023)
by: Shi, Changhao, et al.
Published: (2023)
Regime-Adaptive Bayesian Optimization via Dirichlet Process Mixtures of Gaussian Processes
by: Zhang, Yan, et al.
Published: (2026)
by: Zhang, Yan, et al.
Published: (2026)
Exponential Family Variational Flow Matching for Tabular Data Generation
by: Guzmán-Cordero, Andrés, et al.
Published: (2025)
by: Guzmán-Cordero, Andrés, et al.
Published: (2025)
Deep Q-Exponential Processes
by: Chang, Zhi, et al.
Published: (2024)
by: Chang, Zhi, et al.
Published: (2024)
Identifiable Markov Switching Models with Instantaneous Effects and Exponential Families
by: Hulsman, Roel, et al.
Published: (2026)
by: Hulsman, Roel, et al.
Published: (2026)
Almost Free: Self-concordance in Natural Exponential Families and an Application to Bandits
by: Liu, Shuai, et al.
Published: (2024)
by: Liu, Shuai, et al.
Published: (2024)
Robust Estimation for Kernel Exponential Families with Smoothed Total Variation Distances
by: Kanamori, Takafumi, et al.
Published: (2024)
by: Kanamori, Takafumi, et al.
Published: (2024)
Effects of Exponential Gaussian Distribution on (Double Sampling) Randomized Smoothing
by: Shu, Youwei, et al.
Published: (2024)
by: Shu, Youwei, et al.
Published: (2024)
Noise-Calibrated Inference from Differentially Private Sufficient Statistics in Exponential Families
by: Asiaee, Amir, et al.
Published: (2026)
by: Asiaee, Amir, et al.
Published: (2026)
Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold
by: Liu, Song, et al.
Published: (2025)
by: Liu, Song, et al.
Published: (2025)
Dropout Regularization in Extended Generalized Linear Models based on Double Exponential Families
by: Schwienhorst, Benedikt Lütke, et al.
Published: (2023)
by: Schwienhorst, Benedikt Lütke, et al.
Published: (2023)
Rex: A Family of Reversible Exponential (Stochastic) Runge-Kutta Solvers
by: Blasingame, Zander W., et al.
Published: (2025)
by: Blasingame, Zander W., et al.
Published: (2025)
A Unified Theory of Exact Inference and Learning in Exponential Family Latent Variable Models
by: Sokoloski, Sacha
Published: (2024)
by: Sokoloski, Sacha
Published: (2024)
High-Dimensional Differential Parameter Inference in Exponential Family using Time Score Matching
by: Williams, Daniel J., et al.
Published: (2024)
by: Williams, Daniel J., et al.
Published: (2024)
Efficient Differentiable Approximation of Generalized Low-rank Regularization
by: Li, Naiqi, et al.
Published: (2025)
by: Li, Naiqi, et al.
Published: (2025)
TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting
by: Liu, Peiyuan, et al.
Published: (2024)
by: Liu, Peiyuan, et al.
Published: (2024)
Hierarchical Stacking Optimization Using Dirichlet's Process (SoDip): Towards Accelerated Design for Graft Polymerization
by: Ibrahim, Amgad Ahmed Ali, et al.
Published: (2025)
by: Ibrahim, Amgad Ahmed Ali, et al.
Published: (2025)
Amplifying Prominent Representations in Multimodal Learning via Variational Dirichlet Process
by: Chan, Tsai Hor, et al.
Published: (2025)
by: Chan, Tsai Hor, et al.
Published: (2025)
Exponential Family Discriminant Analysis: Generalizing LDA-Style Generative Classification to Non-Gaussian Models
by: Lakkapragada, Anish
Published: (2026)
by: Lakkapragada, Anish
Published: (2026)
Addressing Distribution Shift in RTB Markets via Exponential Tilting
by: Kim, Minji, et al.
Published: (2023)
by: Kim, Minji, et al.
Published: (2023)
Interpreting FCDNNs via RG on Exponential Family
by: Gong, Fuzhou, et al.
Published: (2026)
by: Gong, Fuzhou, et al.
Published: (2026)
Dirichlet Process-based Robust Clustering using the Median-of-Means Estimator
by: Basu, Supratik, et al.
Published: (2023)
by: Basu, Supratik, et al.
Published: (2023)
It's all In the (Exponential) Family: An Equivalence between Maximum Likelihood Estimation and Control Variates for Sketching Algorithms
by: Kang, Keegan, et al.
Published: (2026)
by: Kang, Keegan, et al.
Published: (2026)
WFTNet: Exploiting Global and Local Periodicity in Long-term Time Series Forecasting
by: Liu, Peiyuan, et al.
Published: (2023)
by: Liu, Peiyuan, et al.
Published: (2023)
Analytical Solution of a Three-layer Network with a Matrix Exponential Activation Function
by: Gai, Kuo, et al.
Published: (2024)
by: Gai, Kuo, et al.
Published: (2024)
Exponential Quantum Communication Advantage in Distributed Inference and Learning
by: Gilboa, Dar, et al.
Published: (2023)
by: Gilboa, Dar, et al.
Published: (2023)
A Statistical Analysis for Supervised Deep Learning with Exponential Families for Intrinsically Low-dimensional Data
by: Chakraborty, Saptarshi, et al.
Published: (2024)
by: Chakraborty, Saptarshi, et al.
Published: (2024)
Exponential Sample Complexity Separation between Flat and Hierarchical Agentic Theorem Provers
by: Sonoda, Sho, et al.
Published: (2026)
by: Sonoda, Sho, et al.
Published: (2026)
Exponentially Consistent Statistical Classification of Continuous Sequences with Distribution Uncertainty
by: Zhu, Lina, et al.
Published: (2024)
by: Zhu, Lina, et al.
Published: (2024)
Resultant: Incremental Effectiveness on Likelihood for Unsupervised Out-of-Distribution Detection
by: Li, Yewen, et al.
Published: (2024)
by: Li, Yewen, et al.
Published: (2024)
TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting
by: Hu, Yifan, et al.
Published: (2025)
by: Hu, Yifan, et al.
Published: (2025)
Forecasting as Rendering: A 2D Gaussian Splatting Framework for Time Series Forecasting
by: Wang, Yixin, et al.
Published: (2026)
by: Wang, Yixin, et al.
Published: (2026)
Similar Items
-
Sharper Perturbed-Kullback-Leibler Exponential Tail Bounds for Beta and Dirichlet Distributions
by: Perrault, Pierre
Published: (2025) -
Exponential Family Attention
by: Wibisono, Kevin Christian, et al.
Published: (2025) -
The Recurrent Sticky Hierarchical Dirichlet Process Hidden Markov Model
by: Słupiński, Mikołaj, et al.
Published: (2024) -
Diffusion Models for Inverse Problems in the Exponential Family
by: Micheli, Alessandro, et al.
Published: (2025) -
Hierarchical mixture of discriminative Generalized Dirichlet classifiers
by: Togban, Elvis, et al.
Published: (2024)