Saved in:
| Main Authors: | Wu, Kaiwen, Gardner, Jacob R. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2407.10449 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Understanding Stochastic Natural Gradient Variational Inference
by: Wu, Kaiwen, et al.
Published: (2024)
by: Wu, Kaiwen, et al.
Published: (2024)
Knowledge Gradient for Preference Learning
by: Wu, Kaiwen, et al.
Published: (2026)
by: Wu, Kaiwen, et al.
Published: (2026)
Linear Spherical Sliced Optimal Transport: A Fast Metric for Comparing Spherical Data
by: Liu, Xinran, et al.
Published: (2024)
by: Liu, Xinran, et al.
Published: (2024)
Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference
by: Wenger, Jonathan, et al.
Published: (2024)
by: Wenger, Jonathan, et al.
Published: (2024)
The Behavior and Convergence of Local Bayesian Optimization
by: Wu, Kaiwen, et al.
Published: (2023)
by: Wu, Kaiwen, et al.
Published: (2023)
Multivariate Distributional Reinforcement Learning Using Sliced Divergences
by: Debes, Baptiste, et al.
Published: (2026)
by: Debes, Baptiste, et al.
Published: (2026)
Large-Scale Gaussian Processes via Alternating Projection
by: Wu, Kaiwen, et al.
Published: (2023)
by: Wu, Kaiwen, et al.
Published: (2023)
Geometry-Aware Normalizing Wasserstein Flows for Optimal Causal Inference
by: Hou, Kaiwen
Published: (2023)
by: Hou, Kaiwen
Published: (2023)
On the Convergence of Black-Box Variational Inference
by: Kim, Kyurae, et al.
Published: (2023)
by: Kim, Kyurae, et al.
Published: (2023)
Online and Offline Robust Multivariate Linear Regression
by: Godichon-Baggioni, Antoine, et al.
Published: (2024)
by: Godichon-Baggioni, Antoine, et al.
Published: (2024)
Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing?
by: Kim, Kyurae, et al.
Published: (2023)
by: Kim, Kyurae, et al.
Published: (2023)
Tighter Truncated Rectangular Prism Approximation for RNN Robustness Verification
by: Lin, Xingqi, et al.
Published: (2025)
by: Lin, Xingqi, et al.
Published: (2025)
Sample Complexity of Offline Distributionally Robust Linear Markov Decision Processes
by: Wang, He, et al.
Published: (2024)
by: Wang, He, et al.
Published: (2024)
Multivariate Latent Recalibration for Conditional Normalizing Flows
by: Dheur, Victor, et al.
Published: (2025)
by: Dheur, Victor, et al.
Published: (2025)
Truncated LinUCB for Stochastic Linear Bandits
by: Song, Yanglei, et al.
Published: (2022)
by: Song, Yanglei, et al.
Published: (2022)
Robust Segmentation Models using an Uncertainty Slice Sampling Based Annotation Workflow
by: Chlebus, Grzegorz, et al.
Published: (2021)
by: Chlebus, Grzegorz, et al.
Published: (2021)
Swift-Sarsa: Fast and Robust Linear Control
by: Javed, Khurram, et al.
Published: (2025)
by: Javed, Khurram, et al.
Published: (2025)
Multivariate Time Series Data Imputation via Distributionally Robust Regularization
by: Liao, Che-Yi, et al.
Published: (2026)
by: Liao, Che-Yi, et al.
Published: (2026)
"Normalized Stress" is Not Normalized: How to Interpret Stress Correctly
by: Smelser, Kiran, et al.
Published: (2024)
by: Smelser, Kiran, et al.
Published: (2024)
Nested Slice Sampling: Vectorized Nested Sampling for GPU-Accelerated Inference
by: Yallup, David, et al.
Published: (2026)
by: Yallup, David, et al.
Published: (2026)
A VAE Approach to Sample Multivariate Extremes
by: Lafon, Nicolas, et al.
Published: (2023)
by: Lafon, Nicolas, et al.
Published: (2023)
A User's Guide to Sampling Strategies for Sliced Optimal Transport
by: Sisouk, Keanu, et al.
Published: (2025)
by: Sisouk, Keanu, et al.
Published: (2025)
PAC-Bayes Bounds for Multivariate Linear Regression and Linear Autoencoders
by: Guo, Ruixin, et al.
Published: (2025)
by: Guo, Ruixin, et al.
Published: (2025)
To MRL or not to MRL: Text Embeddings are Robust to Truncation Without Matryoshka Learning, Except In Heavy Truncation Scenarios
by: Takeshita, Sotaro, et al.
Published: (2026)
by: Takeshita, Sotaro, et al.
Published: (2026)
Truncated Rectified Flow Policy for Reinforcement Learning with One-Step Sampling
by: Zhou, Xubin, et al.
Published: (2026)
by: Zhou, Xubin, et al.
Published: (2026)
Robust Anomaly Detection Under Normality Distribution Shift in Dynamic Graphs
by: Xu, Xiaoyang, et al.
Published: (2025)
by: Xu, Xiaoyang, et al.
Published: (2025)
Scalable High-Dimensional Multivariate Linear Regression for Feature-Distributed Data
by: Huang, Shuo-Chieh, et al.
Published: (2023)
by: Huang, Shuo-Chieh, et al.
Published: (2023)
Fast Tensorization of Neural Networks via Slice-wise Feature Distillation
by: Hamreras, Safa, et al.
Published: (2026)
by: Hamreras, Safa, et al.
Published: (2026)
Fast Estimation of Wasserstein Distances via Regression on Sliced Wasserstein Distances
by: Nguyen, Khai, et al.
Published: (2025)
by: Nguyen, Khai, et al.
Published: (2025)
Convergence Rates for Distribution Matching with Sliced Optimal Transport
by: Thurin, Gauthier, et al.
Published: (2026)
by: Thurin, Gauthier, et al.
Published: (2026)
Geodesic Slice Sampler for Multimodal Distributions with Strong Curvature
by: Williams, Bernardo, et al.
Published: (2025)
by: Williams, Bernardo, et al.
Published: (2025)
Fast Summation of Radial Kernels via QMC Slicing
by: Hertrich, Johannes, et al.
Published: (2024)
by: Hertrich, Johannes, et al.
Published: (2024)
FlashNorm: Fast Normalization for Transformers
by: Graef, Nils, et al.
Published: (2024)
by: Graef, Nils, et al.
Published: (2024)
Controlling Statistical, Discretization, and Truncation Errors in Learning Fourier Linear Operators
by: Subedi, Unique, et al.
Published: (2024)
by: Subedi, Unique, et al.
Published: (2024)
Linear Regression with Unknown Truncation Beyond Gaussian Features
by: Kouridakis, Alexandros, et al.
Published: (2026)
by: Kouridakis, Alexandros, et al.
Published: (2026)
Truncated Non-Uniform Quantization for Distributed SGD
by: Yan, Guangfeng, et al.
Published: (2024)
by: Yan, Guangfeng, et al.
Published: (2024)
Robust and Fast Training via Per-Sample Clipping
by: Nobile, Davide, et al.
Published: (2026)
by: Nobile, Davide, et al.
Published: (2026)
Convergence of Distributionally Robust Q-Learning with Linear Function Approximation
by: Mandal, Saptarshi, et al.
Published: (2025)
by: Mandal, Saptarshi, et al.
Published: (2025)
Distribution Transformers: Fast Approximate Bayesian Inference With On-The-Fly Prior Adaptation
by: Whittle, George, et al.
Published: (2025)
by: Whittle, George, et al.
Published: (2025)
Unsupervised Anomaly Detection in Multivariate Time Series across Heterogeneous Domains
by: Jacob, Vincent, et al.
Published: (2025)
by: Jacob, Vincent, et al.
Published: (2025)
Similar Items
-
Understanding Stochastic Natural Gradient Variational Inference
by: Wu, Kaiwen, et al.
Published: (2024) -
Knowledge Gradient for Preference Learning
by: Wu, Kaiwen, et al.
Published: (2026) -
Linear Spherical Sliced Optimal Transport: A Fast Metric for Comparing Spherical Data
by: Liu, Xinran, et al.
Published: (2024) -
Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference
by: Wenger, Jonathan, et al.
Published: (2024) -
The Behavior and Convergence of Local Bayesian Optimization
by: Wu, Kaiwen, et al.
Published: (2023)