受强制性开放获取政策约束的文章 - Surbhi Goel了解详情
可在其他位置公开访问的文章：13 篇
Hidden progress in deep learning: Sgd learns parities near the computational limit
B Barak, B Edelman, S Goel, S Kakade, E Malach, C Zhang
Advances in Neural Information Processing Systems 35, 21750-21764, 2022
强制性开放获取政策： US Department of Defense
Inductive biases and variable creation in self-attention mechanisms
BL Edelman, S Goel, S Kakade, C Zhang
International Conference on Machine Learning, 5793-5831, 2022
强制性开放获取政策： US National Science Foundation, US Department of Defense
Understanding contrastive learning requires incorporating inductive biases
N Saunshi, J Ash, S Goel, D Misra, C Zhang, S Arora, S Kakade, ...
International Conference on Machine Learning, 19250-19286, 2022
强制性开放获取政策： US National Science Foundation, US Department of Defense
Gone fishing: Neural active learning with fisher embeddings
J Ash, S Goel, A Krishnamurthy, S Kakade
Advances in Neural Information Processing Systems 34, 8927-8939, 2021
强制性开放获取政策： US National Science Foundation
Statistical-query lower bounds via functional gradients
S Goel, A Gollakota, A Klivans
Advances in Neural Information Processing Systems 33, 2147-2158, 2020
强制性开放获取政策： US National Science Foundation
Approximation schemes for relu regression
I Diakonikolas, S Goel, S Karmalkar, AR Klivans, M Soltanolkotabi
Conference on learning theory, 1452-1485, 2020
强制性开放获取政策： US National Science Foundation, US Department of Defense
Time/accuracy tradeoffs for learning a relu with respect to gaussian marginals
S Goel, S Karmalkar, A Klivans
Advances in neural information processing systems 32, 2019
强制性开放获取政策： US National Science Foundation
Efficiently learning adversarially robust halfspaces with noise
O Montasser, S Goel, I Diakonikolas, N Srebro
International Conference on Machine Learning, 7010-7021, 2020
强制性开放获取政策： US National Science Foundation, US Department of Defense
Pareto frontiers in deep feature learning: Data, compute, width, and luck
B Edelman, S Goel, S Kakade, E Malach, C Zhang
Advances in Neural Information Processing Systems 36, 48021-48034, 2023
强制性开放获取政策： US National Science Foundation, US Department of Defense, Chan Zuckerberg …
Statistical estimation from dependent data
Y Dagan, C Daskalakis, N Dikkala, S Goel, AV Kandiros
arXiv preprint arXiv:2107.09773, 2021
强制性开放获取政策： US National Science Foundation, US Department of Energy
Learning mixtures of graphs from epidemic cascades
J Hoffmann, S Basu, S Goel, C Caramanis
International Conference on Machine Learning, 4342-4352, 2020
强制性开放获取政策： US National Science Foundation
From boltzmann machines to neural networks and back again
S Goel, A Klivans, F Koehler
Advances in neural information processing systems 33, 6354-6365, 2020
强制性开放获取政策： US National Science Foundation
Recurrent convolutional neural networks learn succinct learning algorithms
S Goel, S Kakade, A Kalai, C Zhang
Advances in Neural Information Processing Systems 35, 7328-7341, 2022
强制性开放获取政策： US National Science Foundation, US Department of Defense
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