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05/26/2021
Submodular Kernels for Efficient Rankings
Many algorithms for ranked data become computationally intractable as th...
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02/14/2021
Sliced Multi-Marginal Optimal Transport
We study multi-marginal optimal transport, a generalization of optimal t...
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05/27/2019
Fast Decomposable Submodular Function Minimization using Constrained Total Variation
We consider the problem of minimizing the sum of submodular set function...
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05/13/2019
Differentially Private Empirical Risk Minimization with Sparsity-Inducing Norms
Differential privacy is concerned about the prediction quality while mea...
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02/27/2019
High-Dimensional Bayesian Optimization with Manifold Gaussian Processes
Bayesian optimization (BO) is a powerful approach for seeking the global...
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03/05/2015
Convex Optimization for Parallel Energy Minimization
Energy minimization has been an intensely studied core problem in comput...
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12/11/2012