Saved in:
| Main Authors: | Katav, Itay, Kontorovich, Aryeh |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.13998 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Distribution Estimation under the Infinity Norm
by: Kontorovich, Aryeh, et al.
Published: (2024)
by: Kontorovich, Aryeh, et al.
Published: (2024)
Sharp bounds on aggregate expert error
by: Kontorovich, Aryeh, et al.
Published: (2024)
by: Kontorovich, Aryeh, et al.
Published: (2024)
Metric-valued regression
by: Cohen, Dan Tsir, et al.
Published: (2022)
by: Cohen, Dan Tsir, et al.
Published: (2022)
A Fine-Grained Understanding of Uniform Convergence for Halfspaces
by: Kontorovich, Aryeh, et al.
Published: (2026)
by: Kontorovich, Aryeh, et al.
Published: (2026)
Improved Distribution Estimation in $\ell_\infty$
by: Cohen, Doron, et al.
Published: (2026)
by: Cohen, Doron, et al.
Published: (2026)
Efficient Agnostic Learning with Average Smoothness
by: Hanneke, Steve, et al.
Published: (2023)
by: Hanneke, Steve, et al.
Published: (2023)
The Empirical Mean is Minimax Optimal for Local Glivenko-Cantelli
by: Cohen, Doron, et al.
Published: (2024)
by: Cohen, Doron, et al.
Published: (2024)
Agnostic Sample Compression Schemes for Regression
by: Attias, Idan, et al.
Published: (2018)
by: Attias, Idan, et al.
Published: (2018)
On the tensorization of the variational distance
by: Kontorovich, Aryeh
Published: (2024)
by: Kontorovich, Aryeh
Published: (2024)
A homogenization principle for total variation
by: Kontorovich, Aryeh
Published: (2026)
by: Kontorovich, Aryeh
Published: (2026)
Decoupling Maximal Inequalities
by: Kontorovich, Aryeh
Published: (2023)
by: Kontorovich, Aryeh
Published: (2023)
TV homogenization inequalities
by: Kontorovich, Aryeh
Published: (2026)
by: Kontorovich, Aryeh
Published: (2026)
Policy Learning for Balancing Short-Term and Long-Term Rewards
by: Wu, Peng, et al.
Published: (2024)
by: Wu, Peng, et al.
Published: (2024)
Realizable Bayes-Consistency for General Metric Losses
by: Cohen, Dan Tsir, et al.
Published: (2026)
by: Cohen, Dan Tsir, et al.
Published: (2026)
Modeling Temporal Dependencies within the Target for Long-Term Time Series Forecasting
by: Xiong, Qi, et al.
Published: (2024)
by: Xiong, Qi, et al.
Published: (2024)
Bounded variation separates weak and strong average Lipschitz
by: Elperin, Ariel, et al.
Published: (2025)
by: Elperin, Ariel, et al.
Published: (2025)
DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models
by: Ding, Zifeng, et al.
Published: (2024)
by: Ding, Zifeng, et al.
Published: (2024)
Long-Term Embeddings for Balanced Personalization
by: Dzhoha, Andrii, et al.
Published: (2026)
by: Dzhoha, Andrii, et al.
Published: (2026)
Representation Learning on a Random Lattice
by: Brill, Aryeh
Published: (2025)
by: Brill, Aryeh
Published: (2025)
Learning Short-Term and Long-Term Patterns of High-Order Dynamics in Real-World Networks
by: Ko, Yunyong, et al.
Published: (2025)
by: Ko, Yunyong, et al.
Published: (2025)
BEAT: Balanced Frequency Adaptive Tuning for Long-Term Time-Series Forecasting
by: Li, Zhixuan, et al.
Published: (2025)
by: Li, Zhixuan, et al.
Published: (2025)
Exploring Weight Balancing on Long-Tailed Recognition Problem
by: Hasegawa, Naoya, et al.
Published: (2023)
by: Hasegawa, Naoya, et al.
Published: (2023)
Tensor-Parallelism with Partially Synchronized Activations
by: Lamprecht, Itay, et al.
Published: (2025)
by: Lamprecht, Itay, et al.
Published: (2025)
Compositions of Variant Experts for Integrating Short-Term and Long-Term Preferences
by: Do, Jaime Hieu, et al.
Published: (2025)
by: Do, Jaime Hieu, et al.
Published: (2025)
Sensor Response-Time Reduction using Long-Short Term Memory Network Forecasting
by: Ward, Simon J., et al.
Published: (2024)
by: Ward, Simon J., et al.
Published: (2024)
Backpropagation Through Time For Networks With Long-Term Dependencies
by: Bird, George, et al.
Published: (2021)
by: Bird, George, et al.
Published: (2021)
StoxLSTM: A Stochastic Extended Long Short-Term Memory Network for Time Series Forecasting
by: Wang, Zihao, et al.
Published: (2025)
by: Wang, Zihao, et al.
Published: (2025)
C-TLSAN: Content-Enhanced Time-Aware Long- and Short-Term Attention Network for Personalized Recommendation
by: Liang, Siqi, et al.
Published: (2025)
by: Liang, Siqi, et al.
Published: (2025)
Application of Long-Short Term Memory and Convolutional Neural Networks for Real-Time Bridge Scour Prediction
by: Hashem, Tahrima, et al.
Published: (2024)
by: Hashem, Tahrima, et al.
Published: (2024)
Correlated Binomial Process
by: Blanchard, Moïse, et al.
Published: (2024)
by: Blanchard, Moïse, et al.
Published: (2024)
TV over Bernoulli products: the small parameter regime
by: Avital, Ariel, et al.
Published: (2026)
by: Avital, Ariel, et al.
Published: (2026)
xLSTM: Extended Long Short-Term Memory
by: Beck, Maximilian, et al.
Published: (2024)
by: Beck, Maximilian, et al.
Published: (2024)
Decoupling Long- and Short-Term Patterns in Spatiotemporal Inference
by: Hu, Junfeng, et al.
Published: (2021)
by: Hu, Junfeng, et al.
Published: (2021)
Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting
by: Cai, Ruichu, et al.
Published: (2025)
by: Cai, Ruichu, et al.
Published: (2025)
Physics-Informed Long Short-Term Memory for Forecasting and Reconstruction of Chaos
by: Özalp, Elise, et al.
Published: (2023)
by: Özalp, Elise, et al.
Published: (2023)
Open-World Reinforcement Learning over Long Short-Term Imagination
by: Li, Jiajian, et al.
Published: (2024)
by: Li, Jiajian, et al.
Published: (2024)
Convolutional Long Short-Term Memory (convLSTM) for Spatio-Temporal Forecastings of Saturations and Pressure in the SACROC Field
by: Panja, Palash, et al.
Published: (2022)
by: Panja, Palash, et al.
Published: (2022)
Quantum Long Short-Term Memory for Drug Discovery
by: Zhang, Liang, et al.
Published: (2024)
by: Zhang, Liang, et al.
Published: (2024)
SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations
by: Zhang, Xuan, et al.
Published: (2024)
by: Zhang, Xuan, et al.
Published: (2024)
Short-Term-to-Long-Term Memory Transfer for Knowledge Graphs under Partial Observability
by: Kim, Taewoon, et al.
Published: (2026)
by: Kim, Taewoon, et al.
Published: (2026)
Similar Items
-
Distribution Estimation under the Infinity Norm
by: Kontorovich, Aryeh, et al.
Published: (2024) -
Sharp bounds on aggregate expert error
by: Kontorovich, Aryeh, et al.
Published: (2024) -
Metric-valued regression
by: Cohen, Dan Tsir, et al.
Published: (2022) -
A Fine-Grained Understanding of Uniform Convergence for Halfspaces
by: Kontorovich, Aryeh, et al.
Published: (2026) -
Improved Distribution Estimation in $\ell_\infty$
by: Cohen, Doron, et al.
Published: (2026)