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Worst-Case Robustness in Machine Learning
Simons Institute for the Theory of Computing
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Robust Optimization | Lecture 23 (Part 2) | Applied Deep Learning
Maziar Raissi
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Stanford CS230 | Autumn 2025 | Lecture 4: Adversarial Robustness and Generative Models
Stanford Online
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1:14:31
Beyond Worst-Case Analysis (IGAFIT Algorithmic Colloquium, March 25, 2021)
Tim Roughgarden Lectures
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Probabilistic Methods for Increased Robustness in Machine Learning - Jose Miguel Hernandez Lobato
The Alan Turing Institute
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Zijian Guo: Multi-Source Learning with Minimax Optimization: Adversarial Robustness to Invariance
Online Causal Inference Seminar
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ICML 2020: Understanding and Mitigating the Tradeoff between Robustness and Accuracy
Sang Michael Xie
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Towards Lower Bounds for Efficient Robust Estimation From Worst Case Assumptions
Simons Institute for the Theory of Computing
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49:11
Oracle-Efficient Online Learning or: How to Use Non-Robust Optimization for Robust Learning
Simons Institute for the Theory of Computing
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Robustness in Machine Learning Explanations: Does it Matter?
ACM FAccT Conference
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Beyond Worst Case Analysis in ML
Simons Institute for the Theory of Computing
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3:43