Amit Daniely

1. Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity
   2016/02/18 by Amit Daniely, Roy Frostig, Daniely, Amit +3 · 7 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computational Complexity (cs.CC) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stochastic Gradient Optimization Techniques
2. Complexity theoretic limitations on learning DNF's
   2014/04/13 by Amit Daniely, Shai Shalev-Shwatz, Daniely, Amit +1 · 7 citations
   Computer Science · #Machine Learning and Algorithms #Computability, Logic, AI Algorithms #Machine Learning and Data Classification
3. Asynchronous Stochastic Optimization Robust to Arbitrary Delays
   2021/06/22 by Alon Cohen, Amit Daniely, Cohen, Alon +7 · 5 citations
   Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Privacy-Preserving Technologies in Data #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
4. Depth Separation for Neural Networks
   2017/02/27 by Amit Daniely, Daniely, Amit · 5 citations
   Computer Science · #Neural Networks and Applications #Machine Learning and Algorithms #Stochastic Gradient Optimization Techniques
5. More data speeds up training time in learning halfspaces over sparse\n vectors
   2013/11/10 by Amit Daniely, Nati Linial, Daniely, Amit +4 · 5 citations
   Computer Science · Engineering · #Algorithms and Data Compression #Blind Source Separation Techniques #FOS: Computer and information sciences #Face and Expression Recognition #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning and Algorithms #Sparse and Compressive Sensing Techniques
6. Complexity Theoretic Limitations on Learning Halfspaces
   2015/05/21 by Amit Daniely, Daniely, Amit · 3 citations
   Computer Science · #Machine Learning and Algorithms #Complexity and Algorithms in Graphs #Optimization and Search Problems
7. An Exact Poly-Time Membership-Queries Algorithm for Extraction a\n three-Layer ReLU Network
   2021/05/20 by Amit Daniely, Elad Granot, Daniely, Amit +1 · 3 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and ELM #Neural Networks and Applications
8. From Local Pseudorandom Generators to Hardness of Learning
   2021/01/20 by Amit Daniely, Daniely, Amit, Gal Vardi +1 · 3 citations
   Computer Science · Engineering · #Complexity and Algorithms in Graphs #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
9. The Implicit Bias of Depth: How Incremental Learning Drives Generalization
   2019/09/26 by Daniel Gissin, Gissin, Daniel, Shai Shalev‐Shwartz +3 · 2 citations
   Computer Science · Engineering · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
10. Monotone Learning
    2022/02/10 by Olivier Bousquet, Amit Daniely, Bousquet, Olivier +9 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification #Statistics Theory (math.ST)
11. Neural Networks Learning and Memorization with (almost) no Over-Parameterization
    2019/11/22 by Amit Daniely, Daniely, Amit · 3 citations
    Computer Science · #Stochastic Gradient Optimization Techniques #Machine Learning and Algorithms #Domain Adaptation and Few-Shot Learning
12. Hardness of Learning Neural Networks with Natural Weights
    2020/06/05 by Amit Daniely, Daniely, Amit, Gal Vardi +1 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Computational Complexity (cs.CC) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Stochastic Gradient Optimization Techniques
13. Random Features for Compositional Kernels
    2017/03/22 by Amit Daniely, Daniely, Amit, Roy Frostig +5 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications