- The Probably Approximately Correct Learning Model in Computational Learning Theory
2025/11/11 by Rocco A. Servedio, Servedio, Rocco A. · 1 voice · 1 citation
#stat.ML #cs.LG
- LLM Output Drift: Cross-Provider Validation & Mitigation for Financial Workflows
2025/11/10 by Raffi Khatchadourian, R. Escobar Franco, Rolando Franco +2 · 5 voices
Business, Management and Accounting · Computer Science · #Auditing, Earnings Management, Governance #Explainable Artificial Intelligence (XAI) #Financial Reporting and XBRL #cs.AI #cs.CL #cs.LG #stat.ML
- Deep sequence models tend to memorize geometrically; it is unclear why
2025/10/30 by Shahriar Noroozizadeh, Vaishnavh Nagarajan, Elan Rosenfeld +1 · 11 voices · 1 citation
#cs.LG #cs.AI #cs.CL #stat.ML
- Cross-Validated Causal Inference: a Modern Method to Combine Experimental and Observational Data
2025/11/01 by Xuelin Yang, Licong Lin, Yang, Xuelin +7 · 1 voice · 1 citation
#econ.EM #stat.ME #stat.ML
- Tensor Logic: The Language of AI
2025/10/14 by Pedro Domingos, Domingos, Pedro · 15 voices · 1 citation
Computer Science · #Computability, Logic, AI Algorithms #cs.AI #cs.LG #cs.NE #cs.PL #stat.ML
- Seesaw: Accelerating Training by Balancing Learning Rate and Batch Size Scheduling
2025/10/16 by Alexandru Meterez, Meterez, Alexandru, Depen Morwani +9 · 1 citation
#cs.LG #cs.AI #math.OC #stat.ML
- A Simple Method for PMF Estimation on Large Supports
2025/10/16 by Alex Shtoff, Shtoff, Alex · 1 voice
Computer Science · Mathematics · #Advanced Graph Neural Networks #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference #cs.LG #stat.ML
- Cautious Weight Decay
2025/10/14 by Lizhang Chen, Chen, Lizhang, Jonathan Li +16 · 1 voice · 1 citation
Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Stochastic Gradient Optimization Techniques #cs.LG #math.OC #stat.ML
- An Exploration of Non-Euclidean Gradient Descent: Muon and its Many Variants
2025/10/10 by Michael Crawshaw, Crawshaw, Michael, Chirag Modi +5 · 1 voice · 5 citations
#cs.LG #stat.ML
- Transferable Generative Models Bridge Femtosecond to Nanosecond Time-Step Molecular Dynamics
2025/10/08 by Juan Viguera Diez, Diez, Juan Viguera, Mathias Schreiner +3 · 1 voice · 4 citations
Mathematics · Physics and Astronomy · #Chemical Physics (physics.chem-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (stat.ML) #physics.chem-ph #stat.ML
- The Dragon Hatchling: The Missing Link between the Transformer and Models of the Brain
2025/09/30 by Adrian Kosowski, Przemysław Uznański, Kosowski, Adrian +7 · 27 voices · 4 citations
#cs.NE #cs.AI #cs.LG #stat.ML
- Offline Reinforcement Learning in Large State Spaces: Algorithms and Guarantees
2025/10/05 by Nan Jiang, Jiang, Nan, Tengyang Xie +1 · 1 voice · 2 citations
Computer Science · #Adaptive Dynamic Programming Control #Evolutionary Algorithms and Applications #Reinforcement Learning in Robotics #cs.AI #cs.LG #stat.ML
- Predictively Oriented Posteriors
2025/10/02 by Yann McLatchie, Badr-Eddine Cherief-Abdellatif, McLatchie, Yann +5 · 1 voice · 2 citations
Engineering · #Topology Optimization in Engineering #stat.ME #stat.ML
- Training Agents Inside of Scalable World Models
2025/09/29 by Danijar Hafner, Wilson Yan, Hafner, Danijar +3 · 4 voices · 19 citations
Computer Science · Mathematics · #Multi-Agent Systems and Negotiation #Semantic Web and Ontologies #cs.AI #cs.LG #cs.RO #stat.ML
- Scaling Laws and Spectra of Shallow Neural Networks in the Feature Learning Regime
2025/09/29 by Leonardo Defilippis, Defilippis, Leonardo, Yizhou Xu +13 · 1 voice · 5 citations
#cs.LG #cond-mat.dis-nn #cs.AI #stat.ML
- GLASS Flows: Transition Sampling for Alignment of Flow and Diffusion Models
2025/09/29 by Peter Holderrieth, Uriel Singer, Holderrieth, Peter +9 · 1 voice
Computer Science · Earth and Planetary Sciences · Mathematics · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Geological Modeling and Analysis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.AI #cs.LG #stat.ML
- Machine Learning. The Science of Selection under Uncertainty
2025/09/25 by Yevgeny Seldin, Seldin, Yevgeny · 1 voice · 1 citation
Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.LG #stat.ML
- Best-of-∞ -- Asymptotic Performance of Test-Time LLM Ensembling
2025/09/25 by Junpei Komiyama, Daisuke Oba, Komiyama, Junpei +3 · 1 voice
Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.AI #cs.LG #stat.ML
- Reversible Deep Equilibrium Models
2025/09/16 by Sam McCallum, McCallum, Sam, Kamran Arora +3 · 1 voice · 2 citations
Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.LG #stat.ML
- A transport approach to the cutoff phenomenon
2025/09/10 by Francesco Pedrotti, Justin Salez, Pedrotti, Francesco +1 · 1 voice · 1 citation
Business, Management and Accounting · Mathematics · #Advanced Queuing Theory Analysis #Markov Chains and Monte Carlo Methods #Stochastic processes and statistical mechanics #math.AP #math.PR #math.ST #stat.ML
- Fantastic Pretraining Optimizers and Where to Find Them
2025/09/02 by Kaiyue Wen, Wen, Kaiyue, David Hall +5 · 5 voices · 26 citations
#cs.LG #cs.AI #stat.ML
- Neural Conditional Simulation for Complex Spatial Processes
2025/08/27 by Julia Walchessen, Andrew Zammit-Mangion, Walchessen, Julia +5 · 2 citations
#stat.ME #stat.ML
- The Information Dynamics of Generative Diffusion
2025/08/27 by Dejan Stancevic, Ambrogioni, Luca, Luca Ambrogioni · 2 voices · 2 citations
#stat.ML #cs.AI #cs.LG
- On the Edge of Memorization in Diffusion Models
2025/08/25 by Sam Buchanan, Buchanan, Sam, Druv Pai +5 · 2 voices · 3 citations
#cs.LG #stat.ML
- Predictability Enables Parallelization of Nonlinear State Space Models
2025/08/22 by Xavier Gonzalez, Leo Kozachkov, Gonzalez, Xavier +7 · 1 voice · 6 citations
Computer Science · Engineering · Mathematics · #37N40 #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #G.1.6 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Systems and Control (eess.SY) #cs.LG #eess.SY #electronic engineering #information engineering #math.DS #math.OC #stat.ML
- Simulation-Based Inference: A Practical Guide
2025/08/18 by Michael Deistler, Deistler, Michael, Jan Boelts +25 · 3 voices · 11 citations
#stat.ML #cs.LG
- Multivariate Planar Curves: A Statistical Framework for Shape Analysis in Images
2025/08/15 by Issam-Ali Moindjié, Cédric Beaulac, Moindjié, Issam-Ali +3 · 1 citation
#stat.ME #cs.CV #stat.ML
- Dimension-Free Bounds for Generalized First-Order Methods via Gaussian Coupling
2025/08/14 by Galen Reeves, Reeves, Galen · 1 voice · 2 citations
#stat.ML #math.PR #math.ST
- Valid Inference with Imperfect Synthetic Data
2025/08/08 by Yewon Byun, Shantanu Gupta, Byun, Yewon +8 · 6 voices · 2 citations
Mathematics · #Statistical Methods and Inference #cs.AI #cs.LG #stat.ML
- Estimating the size of a set using cascading exclusion
2025/08/07 by Sourav Chatterjee, Chatterjee, Sourav, Persi Diaconis +3 · 2 voices · 1 citation
#math.ST #cs.IT #math.PR #stat.ML
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