A variational perspective on accelerated methods in optimization von Wibisono, Andre, Wilson, Ashia C., Jordan, Michael I.

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Posteriors, conjugacy, and exponential families for completely random measures von BRODERICK, TAMARA, WILSON, ASHIA C., JORDAN, MICHAEL I.

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Adaptive Backtracking For Faster Optimization von Cavalcanti, Joao V, Lessard, Laurent, Wilson, Ashia C

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Algorithms that Approximate Data Removal: New Results and Limitations von Suriyakumar, Vinith M, Wilson, Ashia C

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Unstable Unlearning: The Hidden Risk of Concept Resurgence in Diffusion Models von Suriyakumar, Vinith M, Alur, Rohan, Sekhari, Ayush, Raghavan, Manish, Wilson, Ashia C

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Adaptive Backtracking For Faster Optimization von Cavalcanti, Joao V, Lessard, Laurent, Wilson, Ashia C

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Algorithms that Approximate Data Removal: New Results and Limitations von Suriyakumar, Vinith M, Wilson, Ashia C

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On Accelerated Methods in Optimization von Wibisono, Andre, Wilson, Ashia C

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Unstable Unlearning: The Hidden Risk of Concept Resurgence in Diffusion Models von Suriyakumar, Vinith M, Alur, Rohan, Sekhari, Ayush, Raghavan, Manish, Wilson, Ashia C

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On Symplectic Optimization von Betancourt, Michael, Jordan, Michael I, Wilson, Ashia C

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A Lyapunov Analysis of Momentum Methods in Optimization von Wilson, Ashia C, Recht, Benjamin, Jordan, Michael I

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A Variational Perspective on Accelerated Methods in Optimization von Wibisono, Andre, Wilson, Ashia C, Jordan, Michael I

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The Marginal Value of Adaptive Gradient Methods in Machine Learning von Wilson, Ashia C, Roelofs, Rebecca, Stern, Mitchell, Srebro, Nathan, Recht, Benjamin

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On Accelerated Methods in Optimization von Wibisono, Andre, Wilson, Ashia C

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Breaking Locality Accelerates Block Gauss-Seidel von Tu, Stephen, Venkataraman, Shivaram, Wilson, Ashia C, Gittens, Alex, Jordan, Michael I, Recht, Benjamin

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Posteriors, conjugacy, and exponential families for completely random measures von Broderick, Tamara, Wilson, Ashia C, Jordan, Michael I

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A Lyapunov Analysis of Momentum Methods in Optimization von Wilson, Ashia C, Recht, Benjamin, Jordan, Michael I

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On Symplectic Optimization von Betancourt, Michael, Jordan, Michael I, Wilson, Ashia C

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The Marginal Value of Adaptive Gradient Methods in Machine Learning von Wilson, Ashia C, Roelofs, Rebecca, Stern, Mitchell, Srebro, Nathan, Recht, Benjamin

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Posteriors, conjugacy, and exponential families for completely random measures von Broderick, Tamara, Wilson, Ashia C, Jordan, Michael I

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