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Continuous Optimization

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Three Operator Splitting with Subgradients, Stochastic Gradients, and Adaptive Learning Rates NIPS 2021
On Robust Optimal Transport: Computational Complexity and Barycenter Computation NIPS 2021
Analysis of Sensing Spectral for Signal Recovery under a Generalized Linear Model NIPS 2021
Unbalanced Optimal Transport through Non-negative Penalized Linear Regression NIPS 2021
Small random initialization is akin to spectral learning: Optimization and generalization guarantees for overparameterized low-rank matrix reconstruction NIPS 2021
Can we globally optimize cross-validation loss? Quasiconvexity in ridge regression NIPS 2021
Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions NIPS 2021
Learning the optimal Tikhonov regularizer for inverse problems NIPS 2021
Reusing Combinatorial Structure: Faster Iterative Projections over Submodular Base Polytopes NIPS 2021
A Stochastic Newton Algorithm for Distributed Convex Optimization NIPS 2021
Faster Algorithms and Constant Lower Bounds for the Worst-Case Expected Error NIPS 2021
Continuized Accelerations of Deterministic and Stochastic Gradient Descents, and of Gossip Algorithms NIPS 2021
Analytical Study of Momentum-Based Acceleration Methods in Paradigmatic High-Dimensional Non-Convex Problems NIPS 2021
Complexity Lower Bounds for Nonconvex-Strongly-Concave Min-Max Optimization NIPS 2021
Convex-Concave Min-Max Stackelberg Games NIPS 2021
Adaptive First-Order Methods Revisited: Convex Minimization without Lipschitz Requirements NIPS 2021
NAS-Bench-x11 and the Power of Learning Curves NIPS 2021
Instance-Dependent Bounds for Zeroth-order Lipschitz Optimization with Error Certificates NIPS 2021
Iteratively Reweighted Least Squares for Basis Pursuit with Global Linear Convergence Rate NIPS 2021
Submodular + Concave NIPS 2021
Dimensionality Reduction for Wasserstein Barycenter NIPS 2021
Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection NIPS 2021
Robust Auction Design in the Auto-bidding World NIPS 2021
Implicit Regularization in Matrix Sensing via Mirror Descent NIPS 2021
Improved Coresets and Sublinear Algorithms for Power Means in Euclidean Spaces NIPS 2021