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Workshop
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Forward-INF : Efficient Data Influence Estimation with Duality-based Counterfactual Analysis
Myeongseob Ko · Feiyang Kang · Weiyan Shi · Ming Jin · Zhou Yu · Ruoxi Jia
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Workshop
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Time-Reversed Dissipation Induces Duality Between Minimizing Gradient Norm and Function Value
Jaeyeon Kim · Asuman Ozdaglar · Chanwoo Park · Ernest Ryu
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Workshop
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A Representer Theorem for Vector-Valued Neural Networks: Insights on Weight Decay Training and Widths of Deep Neural Networks
Joseph Shenouda · Rahul Parhi · Kangwook Lee · Robert Nowak
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Workshop
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The Power of Duality Principle in Offline Average-Reward Reinforcement Learning
Asuman Ozdaglar · Sarath Pattathil · Jiawei Zhang · Kaiqing Zhang
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Workshop
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A max-affine spline approximation of neural networks using the Legendre transform of a convex-concave representation
Adam Perrett · Danny Wood · Gavin Brown
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Workshop
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Duality in Multi-View Restricted Kernel Machines
Sonny Achten · Arun Pandey · Hannes De Meulemeester · Bart Moor · Johan Suykens
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Workshop
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A Dual Formulation for Probabilistic Principal Component Analysis
Henri De Plaen · Johan Suykens
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Workshop
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Reward-Based Reinforcement Learning with Risk Constraints
Jane Lee · Konstantinos Nikolakakis · Dionysios Kalogerias · Amin Karbasi
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Workshop
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Sat 14:10
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Taiji Suzuki: Convergence of mean field Langevin dynamics: Duality viewpoint and neural network optimization
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Workshop
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Estimating Joint interventional distributions from marginal interventional data
Sergio Garrido Mejia · Elke Kirschbaum · Armin Kekić · Atalanti Mastakouri
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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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Sat 12:00
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Duality: Opening remarks
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