Yatin Dandi
- How Two-Layer Neural Networks Learn, One (Giant) Step at a Time
2023/05/29 by Yatin Dandi, Dandi, Yatin, Florent Krząkała +7 · 10 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Neural Networks and Applications #Stochastic Gradient Optimization Techniques
- Repetita Iuvant: Data Repetition Allows SGD to Learn High-Dimensional Multi-Index Functions
2024/05/24 by Luca Arnaboldi, Arnaboldi, Luca, Yatin Dandi +7 · 6 citations
Computer Science · #Computational Physics and Python Applications #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Maximally-stable Local Optima in Random Graphs and Spin Glasses: Phase Transitions and Universality
2023/05/05 by Yatin Dandi, Dandi, Yatin, David Gamarnik +3 · 2 citations
Mathematics · Physics and Astronomy · #Combinatorics (math.CO) #Complex Network Analysis Techniques #FOS: Mathematics #FOS: Physical sciences #Markov Chains and Monte Carlo Methods #Mathematical Physics (math-ph) #Probability (math.PR) #Theoretical and Computational Physics
- Fundamental computational limits of weak learnability in high-dimensional multi-index models
2024/05/24 by Emanuele Troiani, Troiani, Emanuele, Yatin Dandi +9 · 3 citations
Computer Science · Mathematics · #Computational Complexity (cs.CC) #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Statistical Methods and Inference
- A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities
2024/10/24 by Yatin Dandi, Dandi, Yatin, Luca Pesce +9 · 3 citations
Computer Science · Mathematics · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Morphological variations and asymmetry #Neural Networks and Applications #Statistical Mechanics and Entropy #Statistics Theory (math.ST)
- Fundamental limits of learning in sequence multi-index models and deep attention networks: High-dimensional asymptotics and sharp thresholds
2025/02/02 by Emanuele Troiani, Hugo Cui, Troiani, Emanuele +7 · 4 citations
Computer Science · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Neural Networks and Applications
- Data-heterogeneity-aware Mixing for Decentralized Learning
2022/04/13 by Yatin Dandi, Dandi, Yatin, Anastasia Koloskova +5 · 1 citation
Computer Science · #Age of Information Optimization #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
- Optimal Spectral Transitions in High-Dimensional Multi-Index Models
2025/02/04 by Leonardo Defilippis, Defilippis, Leonardo, Yatin Dandi +7 · 1 citation
Economics, Econometrics and Finance · Mathematics · Physics and Astronomy · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Physical sciences #Gas Dynamics and Kinetic Theory #Machine Learning (cs.LG) #Quantum chaos and dynamical systems #Stochastic processes and financial applications