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Continuous Optimization

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Papers

Analog Accelerator for Simulation and Diagnostics AAAI 2020
Understanding spiking networks through convex optimization NIPS 2020
Greed Meets Sparsity: Understanding and Improving Greedy Coordinate Descent for Sparse Optimization AISTATS 2020
Apprenticeship Learning via Frank-Wolfe AAAI 2020
Minimax Rank-$1$ Matrix Factorization AISTATS 2020
On Unbalanced Optimal Transport: An Analysis of Sinkhorn Algorithm ICML 2020
On lp-Support Vector Machines and Multidimensional Kernels JMLR 2020
Provably robust estimation of modulo 1 samples of a smooth function with applications to phase unwrapping JMLR 2020
Quadratic Decomposable Submodular Function Minimization: Theory and Practice JMLR 2020
Calibrated Surrogate Maximization of Linear-fractional Utility in Binary Classification AISTATS 2020
Online Convex Optimization in the Random Order Model ICML 2020
Can Stochastic Zeroth-Order Frank-Wolfe Method Converge Faster for Non-Convex Problems? ICML 2020
Spectral Frank-Wolfe Algorithm: Strict Complementarity and Linear Convergence ICML 2020
Supervised Quantile Normalization for Low Rank Matrix Factorization ICML 2020
Efficient Continuous Pareto Exploration in Multi-Task Learning ICML 2020
Convergence of a Stochastic Gradient Method with Momentum for Non-Smooth Non-Convex Optimization ICML 2020
AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity NIPS 2020
A Catalyst Framework for Minimax Optimization NIPS 2020
RM-CVaR: Regularized Multiple β-CVaR Portfolio IJCAI 2020
DINO: Distributed Newton-Type Optimization Method ICML 2020
A Class of Parallel Doubly Stochastic Algorithms for Large-Scale Learning JMLR 2020
Diffeomorphic Learning JMLR 2020
On Coresets for Regularized Regression ICML 2020
Finite-Time Convergence in Continuous-Time Optimization ICML 2020
Bayesian Optimisation over Multiple Continuous and Categorical Inputs ICML 2020