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Continuous Optimization

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Papers

A Wasserstein Minimax Framework for Mixed Linear Regression ICML 2021
XOR-CD: Linearly Convergent Constrained Structure Generation ICML 2021
Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach ICML 2021
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation ICML 2021
On a Combination of Alternating Minimization and Nesterov’s Momentum ICML 2021
Regret Minimization in Stochastic Non-Convex Learning via a Proximal-Gradient Approach ICML 2021
Projection Robust Wasserstein Barycenters ICML 2021
Distributed Second Order Methods with Fast Rates and Compressed Communication ICML 2021
In-Database Regression in Input Sparsity Time ICML 2021
Affine Invariant Analysis of Frank-Wolfe on Strongly Convex Sets ICML 2021
Distributionally Robust Optimization with Markovian Data ICML 2021
Communication-Efficient Distributed SVD via Local Power Iterations ICML 2021
Making transport more robust and interpretable by moving data through a small number of anchor points ICML 2021
Infinite-Dimensional Optimization for Zero-Sum Games via Variational Transport ICML 2021
Learning Stochastic Behaviour from Aggregate Data ICML 2021
Value-at-Risk Optimization with Gaussian Processes ICML 2021
Homomorphic Sensing: Sparsity and Noise ICML 2021
Dueling Convex Optimization ICML 2021
Testing Group Fairness via Optimal Transport Projections ICML 2021
A Precise Performance Analysis of Support Vector Regression ICML 2021
Fast Sketching of Polynomial Kernels of Polynomial Degree ICML 2021
Oblivious Sketching-based Central Path Method for Linear Programming ICML 2021
Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts ICML 2021
Moreau-Yosida $f$-divergences ICML 2021
Principal Component Hierarchy for Sparse Quadratic Programs ICML 2021