Daniely, Amit

1. Learning Parities with Neural Networks
   2020/02/18 by Daniely, Amit, Malach, Eran · 10 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. 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
3. Optimal Learners for Multiclass Problems
   2014/05/10 by Amit Daniely, Shai Shalev‐Shwartz, Daniely, Amit +1 · 7 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning and Algorithms
4. More data speeds up training time in learning halfspaces over sparse\n vectors
   2013/11/10 by Amit Daniely, Daniely, Amit, Nati Linial +4 · 6 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
5. Complexity theoretic limitations on learning DNF's
   2014/04/13 by Amit Daniely, Daniely, Amit, Shai Shalev-Shwatz +1 · 7 citations
   Computer Science · #Machine Learning and Algorithms #Computability, Logic, AI Algorithms #Machine Learning and Data Classification
6. Asynchronous Stochastic Optimization Robust to Arbitrary Delays
   2021/06/22 by Alon Cohen, Cohen, Alon, Amit Daniely +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
7. 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
8. From average case complexity to improper learning complexity
   2013/11/10 by Daniely, Amit, Linial, Nati, Shalev-Shwartz, Shai · 3 citations
   #Computational Complexity (cs.CC) #FOS: Computer and information sciences #Machine Learning (cs.LG)
9. Strongly Adaptive Online Learning
   2015/02/25 by Daniely, Amit, Gonen, Alon, Shalev-Shwartz, Shai · 3 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
10. 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
11. 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
12. From Local Pseudorandom Generators to Hardness of Learning
    2021/01/20 by Amit Daniely, Gal Vardi, Daniely, Amit +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
13. Planning and Learning with Stochastic Action Sets
    2018/05/07 by Boutilier, Craig, Cohen, Alon, Daniely, Amit +5 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
14. 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
15. 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)
16. The price of bandit information in multiclass online classification
    2013/02/05 by Daniely, Amit, Helbertal, Tom · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
17. Inapproximability of Truthful Mechanisms via Generalizations of the VC Dimension
    2014/12/19 by Daniely, Amit, Schapira, Michael, Shahaf, Gal · 1 citation
    #Combinatorics (math.CO) #Computational Complexity (cs.CC) #Computer Science and Game Theory (cs.GT) #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #FOS: Mathematics
18. SGD Learns the Conjugate Kernel Class of the Network
    2017/02/27 by Daniely, Amit · 1 citation
    #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
19. Behavior-Based Machine-Learning: A Hybrid Approach for Predicting Human Decision Making
    2016/11/30 by Noti, Gali, Levi, Effi, Kolumbus, Yoav +1 · 1 citation
    #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #H.1.2 #I.2.6 #J.4 #Machine Learning (cs.LG)
20. 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
21. On the Complexity of Minimizing Convex Finite Sums Without Using the Indices of the Individual Functions
    2020/02/09 by Arjevani, Yossi, Daniely, Amit, Jegelka, Stefanie +1 · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
22. 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
23. Multiclass Boosting: Simple and Intuitive Weak Learning Criteria
    2023/07/02 by Brukhim, Nataly, Daniely, Amit, Mansour, Yishay +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
24. 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