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Continuous Optimization

3907 directly classified papers

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Papers

Practical Schemes for Finding Near-Stationary Points of Convex Finite-Sums AISTATS 2022
Measure Estimation in the Barycentric Coding Model ICML 2022
DICP: Doppler Iterative Closest Point Algorithm RSS 2022
Minimax Optimization: The Case of Convex-Submodular AISTATS 2022
Super-Acceleration with Cyclical Step-sizes AISTATS 2022
Randomized Stochastic Gradient Descent Ascent AISTATS 2022
Accelerating Model-Free Policy Optimization Using Model-Based Gradient: A Composite Optimization Perspective L4DC 2022
PROX-QP: Yet another Quadratic Programming Solver for Robotics and beyond RSS 2022
I AM A.I. Gradient Descent – an Open-Source Digital Game for Inquiry-Based CLIL Learning AAAI 2022
Fast Rank-1 NMF for Missing Data with KL Divergence AISTATS 2022
Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting JMLR 2022
Optimality and Stability in Non-Convex Smooth Games JMLR 2022
Additive Nonlinear Quantile Regression in Ultra-high Dimension JMLR 2022
On the Complexity of Approximating Multimarginal Optimal Transport JMLR 2022
New Insights for the Multivariate Square-Root Lasso JMLR 2022
Generalized Sparse Additive Models JMLR 2022
Joint Inference of Multiple Graphs from Matrix Polynomials JMLR 2022
Accelerating Adaptive Cubic Regularization of Newton's Method via Random Sampling JMLR 2022
Distributed Distributionally Robust Optimization with Non-Convex Objectives NIPS 2022
Scale-invariant Learning by Physics Inversion NIPS 2022
Exploitability Minimization in Games and Beyond NIPS 2022
Dynamic Tensor Product Regression NIPS 2022
Differentiable Analog Quantum Computing for Optimization and Control NIPS 2022
Certifying Robust Graph Classification under Orthogonal Gromov-Wasserstein Threats NIPS 2022
Coresets for Relational Data and The Applications NIPS 2022