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Poster
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Tue 14:00
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Accelerated Cyclic Coordinate Dual Averaging with Extrapolation for Composite Convex Optimization
Cheuk Yin Lin · Chaobing Song · Jelena Diakonikolas
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Poster
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Tue 14:00
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On User-Level Private Convex Optimization
Badih Ghazi · Pritish Kamath · Ravi Kumar · Pasin Manurangsi · Raghu Meka · Chiyuan Zhang
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Poster
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Tue 17:00
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How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control
Jacopo Teneggi · Matthew Tivnan · Web Stayman · Jeremias Sulam
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Poster
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Thu 16:30
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Efficient displacement convex optimization with particle gradient descent
Hadi Daneshmand · Jason Lee · Chi Jin
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Poster
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Wed 17:00
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Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity
Risheng Liu · Yaohua Liu · Wei Yao · Shangzhi Zeng · Jin Zhang
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Workshop
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Learning with Primal-Dual Spectral Risk Measures: a Fast Incremental Algorithm
Ronak Mehta · Vincent Roulet · Krishna Pillutla · Zaid Harchaoui
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Workshop
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Lagrangian Proximal Gradient Descent for Learning Convex Optimization Models
Anselm Paulus · Vit Musil · Georg Martius
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Poster
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Wed 14:00
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Low Complexity Homeomorphic Projection to Ensure Neural-Network Solution Feasibility for Optimization over (Non-)Convex Set
Enming Liang · Minghua Chen · Steven Low
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