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Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization
Sijia Liu, Bhavya Kailkhura, Pin-Yu Chen, Paishun Ting, Shiyu Chang, Lisa Amini
Neural Information Processing Systems
Zeroth-order (gradient-free) optimization is increasingly embraced for solving machine learning problems where explicit expressions of the gradients are difficult or infeasible to obtain.
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MMScan: A Multi-Modal 3D Scene Dataset with Hierarchical Grounded Language Annotations
Neural Information Processing Systems
Built upon existing 3D scanning data, the resulting multi-modal 3D dataset encompasses 1.4M
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Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data
Neural Information Processing Systems
However, it is known that even with infinite i.i.d.
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ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust Accuracies
Bao Wang, Zuoqiang Shi, Stanley Osher
Neural Information Processing Systems
Neural Information Processing Systems http://nips.cc/
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