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Optimization

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Papers

Bilevel Optimization: Convergence Analysis and Enhanced Design ICML 2021
Affine Invariant Analysis of Frank-Wolfe on Strongly Convex Sets ICML 2021
An Integer Linear Programming Framework for Mining Constraints from Data ICML 2021
Learn2Hop: Learned Optimization on Rough Landscapes ICML 2021
Optimal regret algorithm for Pseudo-1d Bandit Convex Optimization ICML 2021
Oblivious Sketching-based Central Path Method for Linear Programming ICML 2021
More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method ICML 2021
Optimal Non-Convex Exact Recovery in Stochastic Block Model via Projected Power Method ICML 2021
Decision-Making Under Selective Labels: Optimal Finite-Domain Policies and Beyond ICML 2021
Learner-Private Convex Optimization ICML 2021
Federated Composite Optimization ICML 2021
Riemannian Stochastic Recursive Momentum Method for non-Convex Optimization IJCAI 2021
Contrastive Losses and Solution Caching for Predict-and-Optimize IJCAI 2021
Symbolic Dynamic Programming for Continuous State MDPs with Linear Program Transitions IJCAI 2021
Counterfactual Explanations for Optimization-Based Decisions in the Context of the GDPR IJCAI 2021
LTL-Constrained Steady-State Policy Synthesis IJCAI 2021
Speech Decomposition Based on a Hybrid Speech Model and Optimal Segmentation INTERSPEECH 2021
Noise Robust Pitch Stylization Using Minimum Mean Absolute Error Criterion INTERSPEECH 2021
Sound Source Localization with Majorization Minimization INTERSPEECH 2021
Path Length Bounds for Gradient Descent and Flow JMLR 2021
Optimization with Momentum: Dynamical, Control-Theoretic, and Symplectic Perspectives JMLR 2021
L-SVRG and L-Katyusha with Arbitrary Sampling JMLR 2021
A Lyapunov Analysis of Accelerated Methods in Optimization JMLR 2021
Are We Forgetting about Compositional Optimisers in Bayesian Optimisation? JMLR 2021
The ensmallen library for flexible numerical optimization JMLR 2021