- An Introduction to Bayesian and Frequentist Simulation-Based Inference with Machine Learning
2026/07/23 by Maximilian Dax, Theo Heimel, Gilles Louppe · 1 voice
#cs.LG #astro-ph.CO #astro-ph.GA #hep-ex #hep-ph #stat.ML
- Quantum Kernels and the Cross-Section of Stock Returns: Anatomy of a Vanishing Advantage
2026/07/22 by Junchi Shen · 1 voice
#q-fin.PR #quant-ph #stat.ML
- How Fast Do Signatures Learn? Statistical Theory and Applications for Path Regression
2026/07/20 by Blanka Horvath, Wen Su, Wu Su +2 · 1 citation
#math.ST #stat.ME #stat.ML #stat.TH
- Value-Monotonicity Matters: A Concordance Loss for Deep Survival Prediction
2026/07/18 by Meixu Chen, Kai Wang, Jing Wang · 1 citation
#cs.LG #cs.CV #stat.ML
- Delocalization of bias in unadjusted Hamiltonian Monte Carlo and underdamped Langevin
2026/07/16 by Yifan Chen, Xiaoou Cheng, Jonathan Niles-Weed +1 · 1 voice
#stat.CO #cs.LG #math.PR #stat.ML
- Spectral Concentration and Recovery in Sparse High-Dimensional Random Geometric Graphs
2026/07/15 by Manuel Fernandez V, Yizhe Zhu · 1 citation
#stat.ML #cs.LG #math.PR #math.ST #stat.TH
- Auditing the Risk Claims of Distributional Reinforcement Learning
2026/07/13 by Hari Prasad · 1 voice
Computer Science · Mathematics · #cs.AI #cs.LG #stat.ML
- Causal Graphs, Markov Properties and Do-calculus for Stochastic Differential Equations
2026/07/13 by Philip Boeken, Joris M. Mooij · 1 citation
#math.ST #stat.ML #stat.TH
- Computational Identifiability
2026/06/08 by Lucius E. J. Bynum, Rajesh Ranganath, Kyunghyun Cho · 1 voice
Computer Science · Mathematics · #cs.LG #cs.AI #math.NA #stat.CO #stat.ME #stat.ML
- Wasserstein Contraction of Coordinate Ascent Variational Inference
2026/05/28 by Rocco Caprio, Adrien Corenflos, Sam Power · 2 voices
#stat.ML #cs.LG #math.FA #math.OC #math.PR #stat.CO
- The Matching Principle: A Geometric Theory of Loss Functions for Nuisance-Robust Representation Learning
2026/05/21 by Vishal Rajput · 3 voices
Computer Science · Mathematics · #cs.LG #cs.AI #stat.ML
- A Theory of Generalization in Deep Learning
2026/05/02 by Elon Litman, Gabe Guo · 2 voices
#cs.LG #stat.ML
- There Will Be a Scientific Theory of Deep Learning
2026/04/23 by Jamie Simon, Daniel Kunin, Alexander Atanasov +11 · 31 voices · 1 citation
#stat.ML #cs.LG
- Separating Geometry from Probability in the Analysis of Generalization
2026/04/21 by Maxim Raginsky, Benjamin Recht · 3 voices · 1 citation
#cs.LG #math.OC #stat.ML
- Can LLMs Beat Classical Hyperparameter Optimization Algorithms? A Study on autoresearch
2026/03/25 by Fabio Ferreira, Lucca Wobbe, Arjun Krishnakumar +2 · 12 voices
#cs.LG #stat.ML
- Statistical Early Stopping for Reasoning Models
2026/02/15 by Yangxinyu Xie, Tao Wang, Soham Mallick +6 · 2 citations
#cs.AI #cs.LG #stat.ML
- SoftMatcha 2: A Fast and Soft Pattern Matcher for Trillion-Scale Corpora
2026/02/11 by Masataka Yoneda, Yusuke Matsushita, Go Kamoda +4 · 2 voices
Computer Science · Mathematics · #cs.CL #cs.LG #stat.ML
- Subliminal Effects in Your Data: A General Mechanism via Log-Linearity
2026/02/04 by Ishaq Aden-Ali, Noah Golowich, Allen Liu +3 · 1 voice · 2 citations
#cs.LG #cs.AI #cs.CL #stat.ML
- Uncertainty Decomposition for Bayes-Filtered Transformers via Bayesian Predictive Inference
2026/02/04 by Sandra Fortini, Kenyon Ng, Sonia Petrone +2 · 2 citations
#stat.ML #cs.LG #stat.ME
- YuriiFormer: A Suite of Nesterov-Accelerated Transformers
2026/01/30 by Aleksandr Zimin, Yury Polyanskiy, Philippe Rigollet · 2 voices
Computer Science · Mathematics · #cs.LG #cs.AI #math.OC #stat.ML
- Success Conditioning as Policy Improvement: The Optimization Problem Solved by Imitating Success
2026/01/26 by Daniel Russo · 2 voices
#cs.AI #cs.LG #eess.SY #stat.ML
- From Entropy to Epiplexity: Rethinking Information for Computationally Bounded Intelligence
2026/01/06 by Marc Finzi, Shikai Qiu, Yiding Jiang +3 · 13 voices · 9 citations
#cs.LG #stat.ML
- A Quantifiable Information-Processing Hierarchy Provides a Necessary Condition for Detecting Agency
2026/01/07 by Brett J. Kagan, Valentina Baccetti, Brian D. Earp +3 · 2 voices
#q-bio.NC #cs.IT #physics.data-an #stat.ML
- What Drives Success in Physical Planning with Joint-Embedding Predictive World Models?
2025/12/30 by Basile Terver, Tsung-Yen Yang, Jean Ponce +2 · 2 voices · 3 citations
#cs.AI #cs.LG #cs.RO #stat.ML
- The Bayesian Geometry of Transformer Attention
2025/12/27 by Naman Agarwal, Siddhartha R. Dalal, Vishal Misra · 3 voices
#cs.LG #cs.AI #stat.ML
- Diffusion Models in Simulation-Based Inference: A Tutorial Review
2025/12/22 by Jonas Arruda, Niels Bracher, Arruda, Jonas +7 · 2 voices · 1 citation
#stat.ML #cs.LG #stat.ME
- Boltzmann generators for amorphous particle systems
2025/12/18 by Louis Grenioux, Leonardo Galliano, Grenioux, Louis +7 · 1 citation
#stat.ML #cond-mat.stat-mech #cs.LG #physics.comp-ph
- Latency-Response Theory Model: Evaluating Large Language Models via Response Accuracy and Chain-of-Thought Length
2025/12/07 by Zhiyu Xu, Jia Liu, Xu, Zhiyu +5 · 1 citation
Computer Science · Decision Sciences · Social Sciences · #Computational and Text Analysis Methods #Psychometric Methodologies and Testing #Topic Modeling #cs.AI #stat.AP #stat.ME #stat.ML
- How to Correctly Report LLM-as-a-Judge Evaluations
2025/11/26 by C.H. Lee, Chungpa Lee, Lee, Chungpa +8 · 3 voices · 2 citations
Computer Science · Mathematics · #Applications (stat.AP) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mobile Crowdsensing and Crowdsourcing #Sentiment Analysis and Opinion Mining #Topic Modeling #cs.CL #cs.LG #stat.AP #stat.ML
- Conformal Prediction for Compositional Data
2025/11/22 by Lucas P. Amaral, Luben M. C. Cabezas, Amaral, Lucas P. +5 · 1 voice
Computer Science · Economics, Econometrics and Finance · Mathematics · #Economic and Technological Innovation #FOS: Computer and information sciences #Geochemistry and Geologic Mapping #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Spatial and Panel Data Analysis #cs.LG #stat.ML
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