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Optimization

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Papers

Black Box Submodular Maximization: Discrete and Continuous Settings AISTATS 2020
On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms AISTATS 2020
A Continuous-time Perspective for Modeling Acceleration in Riemannian Optimization AISTATS 2020
Sparse and Low-rank Tensor Estimation via Cubic Sketchings AISTATS 2020
Communication-Efficient Asynchronous Stochastic Frank-Wolfe over Nuclear-norm Balls AISTATS 2020
Linear Convergence of Adaptive Stochastic Gradient Descent AISTATS 2020
A Unified Analysis of Extra-gradient and Optimistic Gradient Methods for Saddle Point Problems: Proximal Point Approach AISTATS 2020
Optimizing Millions of Hyperparameters by Implicit Differentiation AISTATS 2020
Unsupervised Hierarchy Matching with Optimal Transport over Hyperbolic Spaces AISTATS 2020
Revisiting the Landscape of Matrix Factorization AISTATS 2020
Optimized Score Transformation for Fair Classification AISTATS 2020
Spatio-temporal alignments: Optimal transport through space and time AISTATS 2020
Accelerating Smooth Games by Manipulating Spectral Shapes AISTATS 2020
A Rule for Gradient Estimator Selection, with an Application to Variational Inference AISTATS 2020
Learning Hierarchical Interactions at Scale: A Convex Optimization Approach AISTATS 2020
Sharp Analysis of Expectation-Maximization for Weakly Identifiable Models AISTATS 2020
DAve-QN: A Distributed Averaged Quasi-Newton Method with Local Superlinear Convergence Rate AISTATS 2020
Choosing the Sample with Lowest Loss makes SGD Robust AISTATS 2020
Distributionally Robust Bayesian Optimization AISTATS 2020
Improved Regret Bounds for Projection-free Bandit Convex Optimization AISTATS 2020
Derivative-Free & Order-Robust Optimisation AISTATS 2020
Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning AISTATS 2020
Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks AISTATS 2020
Stochastic Linear Contextual Bandits with Diverse Contexts AISTATS 2020
A Primal-Dual Solver for Large-Scale Tracking-by-Assignment AISTATS 2020