← Optimization
Mathematics & Optimization › Optimization ›

Optimization

1203 directly classified papers

Papers per year

Papers

Iterative Double Sketching for Faster Least-Squares Optimization ICML 2022
Dimension-free Complexity Bounds for High-order Nonconvex Finite-sum Optimization ICML 2022
Value Function based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems ICML 2022
Sharpened Quasi-Newton Methods: Faster Superlinear Rate and Larger Local Convergence Neighborhood ICML 2022
Inductive Matrix Completion: No Bad Local Minima and a Fast Algorithm ICML 2022
Deciphering Lasso-based Classification Through a Large Dimensional Analysis of the Iterative Soft-Thresholding Algorithm ICML 2022
On the Finite-Time Complexity and Practical Computation of Approximate Stationarity Concepts of Lipschitz Functions ICML 2022
Controlling Epidemic Spread using Probabilistic Diffusion Models on Networks AISTATS 2022
On a Connection Between Fast and Sparse Oblivious Subspace Embeddings AISTATS 2022
Finite Sample Analysis of Mean-Volatility Actor-Critic for Risk-Averse Reinforcement Learning AISTATS 2022
A Dimensionality Reduction Method for Finding Least Favorable Priors with a Focus on Bregman Divergence AISTATS 2022
Stochastic Extragradient: General Analysis and Improved Rates AISTATS 2022
Nearly Optimal Algorithms for Level Set Estimation AISTATS 2022
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization AISTATS 2022
An Alternate Policy Gradient Estimator for Softmax Policies AISTATS 2022
Faster Single-loop Algorithms for Minimax Optimization without Strong Concavity AISTATS 2022
Lifted Primal-Dual Method for Bilinearly Coupled Smooth Minimax Optimization AISTATS 2022
Inferring Multiple Tissue Properties from Magnetic Resonance Fingerprinting Images AAAI 2022
Practical Schemes for Finding Near-Stationary Points of Convex Finite-Sums AISTATS 2022
Minimax Optimization: The Case of Convex-Submodular AISTATS 2022
Super-Acceleration with Cyclical Step-sizes AISTATS 2022
On the Convergence Rate of Off-Policy Policy Optimization Methods with Density-Ratio Correction AISTATS 2022
Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Completion AISTATS 2022
A Contraction Theory Approach to Optimization Algorithms from Acceleration Flows AISTATS 2022
On Structured Filtering-Clustering: Global Error Bound and Optimal First-Order Algorithms AISTATS 2022