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Improving Optimization Bounds using Machine Learning: Decision Diagrams meet Deep Reinforcement Learning
Improving Optimization Bounds using Machine Learning: Decision Diagrams meet Deep Reinforcement Learning
Finding tight bounds on the optimal solution is a critical element of practical solution methods for discrete optimization problems. In …
Association for the Advancement of Artificial Intelligence (AAAI),  2019.
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An escape-time analysis of SGD
Women in Machine Learning (WiML),  2018.
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Tighter Nonvacuous PAC-Bayes Bounds: Beyond Stability of SGD
Workshop at the Neural Information Processing Systems (NeurIPS),  2018.
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