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DATE
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LIT-LVM: Structured Regularization for Interaction Terms in Linear Predictors using Latent Variable Models
By Mohammadreza Nemati, Zhipeng Huang, Kevin S. Xu · ArXiv: 2506.15492
2026-02-03
0
On the Effectiveness of Classical Regression Methods for Optimal Switching Problems
By Martin Andersson, Benny Avelin, Marcus Olofsson · ArXiv: 2506.15436
2026-02-05
0
Interpretability and Generalization Bounds for Learning Spatial Physics
By Alej, ro Francisco Queiruga, Theo Gutman-Solo · ArXiv: 2506.15199
2026-02-09
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Ole E. Barndorff-Nielsen: Sand, Wind and Inference
By Michael Sørensen · ArXiv: 2506.14389
2025-06-17
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DiffusionBlocks: Block-wise Neural Network Training via Diffusion Interpretation
By Makoto Shing, Masanori Koyama, Takuya Akiba · ArXiv: 2506.14202
2026-02-18
0
Connecting phases of matter to the flatness of the loss landscape in analog variational quantum algorithms
By Kasidit Srimahajariyapong, Supanut Thanasilp, Thiparat Chotibut · ArXiv: 2506.13865
2026-02-10
0
Hybrid Meta-learners for Estimating Heterogeneous Treatment Effects
By Zhongyuan Liang, Lars van der Laan, Ahmed Alaa · ArXiv: 2506.13680
2026-01-31
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Single Index Bandits: Generalized Linear Contextual Bandits with Unknown Reward Functions
By Yue Kang, Mingshuo Liu, Bongsoo Yi · ArXiv: 2506.12751
2026-02-07
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"Faithful to What?" On the Limits of Fidelity-Based Explanations
By Jackson Eshbaugh · ArXiv: 2506.12176
2026-02-04
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Complexity of normalized stochastic first-order methods with momentum under heavy-tailed noise
By Chuan He, Zhaosong Lu, Defeng Sun · ArXiv: 2506.11214
2026-02-11
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A composition of simplified physics-based model with neural operator for trajectory-level seismic response predictions of structural systems
By Jungho Kim, Sang-ri Yi, Ziqi Wang · ArXiv: 2506.10569
2025-10-31
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Optimal Adjustment Sets for Nonparametric Estimation of Weighted Controlled Direct Effect
By Ruiyang Lin, Yongyi Guo, Kyra Gan · ArXiv: 2506.09871
2026-02-05
0
Scaling Laws for Uncertainty in Deep Learning
By Mattia Rosso, Simone Rossi, Giulio Franzese · ArXiv: 2506.09648
2026-02-09
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Efficient and Robust Block Designs for Order-of-Addition Experiments
By Chang-Yun Lin · ArXiv: 2506.07096
2026-02-03
0
Graph Persistence goes Spectral
By Mattie Ji, Amauri H. Souza, Vikas Garg · ArXiv: 2506.06571
2026-02-04
0
Sequential Monte Carlo approximations of Wasserstein--Fisher--Rao gradient flows
By Francesca R. Crucinio, Sahani Pathiraja · ArXiv: 2506.05905
2026-02-10
0
Analyzing the retraining frequency of global forecasting models: towards more stable forecasting systems
By Marco Zanotti · ArXiv: 2506.05776
2026-02-10
0
Algorithm- and Data-Dependent Generalization Bounds for Diffusion Models
By Benjamin Dupuis, Dario Shariatian, Maxime Haddouche · ArXiv: 2506.03849
2026-02-09
0
Safely Learning Controlled Stochastic Dynamics
By Luc Brogat-Motte, Aless, ro Rudi · ArXiv: 2506.02754
2026-02-02
0
Generalized Gradient Norm Clipping & Non-Euclidean $(L_0,L_1)$-Smoothness
By Thomas Pethick, Wanyun Xie, Mete Erdogan · ArXiv: 2506.01913
2026-02-04
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Bayes optimal learning of attention-indexed models
By Fabrizio Boncoraglio, Emanuele Troiani, Vittorio Erba · ArXiv: 2506.01582
2026-02-02
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Assessing Honey Bee Colony Health Using Temperature Time Series
By Karina Arias-Calluari, Theotime Colin, Tanya Latty · ArXiv: 2506.00602
2025-05-31
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Two failure modes of deep transformers and how to avoid them: a unified theory of signal propagation at initialisation
By Alessio Giorl, ino, Sebastian Goldt · ArXiv: 2505.24333
2026-02-09
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On the Expressive Power of Mixture-of-Experts for Structured Complex Tasks
By Mingze Wang, Weinan E · ArXiv: 2505.24205
2026-02-18
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On Transferring Transferability: Towards a Theory for Size Generalization
By Eitan Levin, Yuxin Ma, Mateo Díaz · ArXiv: 2505.23599
2026-02-11
0
Position: Epistemic uncertainty estimation methods are fundamentally incomplete
By Sebastián Jiménez, Mira Jürgens, Willem Waegeman · ArXiv: 2505.23506
2026-02-06
0
A Computational Approach to Improving Fairness in K-means Clustering
By Guancheng Zhou, Haiping Xu, Hongkang Xu · ArXiv: 2505.22984
2025-05-31
0
IGNIS: A Robust Neural Network Framework for Constrained Parameter Estimation in Archimedean Copulas
By Agnideep Aich · ArXiv: 2505.22518
2026-02-02
0
PolarGrad: A Class of Matrix-Gradient Optimizers from a Unifying Preconditioning Perspective
By Tim Tsz-Kit Lau, Qi Long, Weijie Su · ArXiv: 2505.21799
2026-02-05
0