Tal Gordon - Hessian vs. Gauss-Newton Matrix: An Analytic Study
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Nir Rosenfeld - Classification Under Strategic Self-Selection
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Ido Greenberg - Real-World AI: Risk and Robustness in Reinforcement Learning and Kalman Filtering
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Algoritmo de Gauss-Newton - Mínimos Cuadrados no Lineales
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Itamar Harel - Typical Interpolating Neural Nets Generalize Well (Heb)
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Adiabatic Quantum Computation with the Fermionic Position Space Schrödinger Equation
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Idan Attias - Information Complexity of Stochastic Convex Optimization:
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Guy Kornowski - The Elusive Role of High Dimensions in Modern Optimization and Generalization (En)
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