Optimization
1,521 papers
Papers per year
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28
33
56
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47
81
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Papers
Searching for More Efficient Dynamic Programs
EMNLP 2021
Sifting through the noise: Universal first-order methods for stochastic variational inequalities
NeurIPS 2021
Skew-symmetrically perturbed gradient flow for convex optimization
ACML 2021
Smooth Convex Optimization Using Sub-Zeroth-Order Oracles
AAAI 2021
Smoothness Matrices Beat Smoothness Constants: Better Communication Compression Techniques for Distributed Optimization
NeurIPS 2021
Sound Source Localization with Majorization Minimization
Interspeech 2021
Speech Decomposition Based on a Hybrid Speech Model and Optimal Segmentation
Interspeech 2021
Square Root Bundle Adjustment for Large-Scale Reconstruction
CVPR 2021
Stability and Identification of Random Asynchronous Linear Time-Invariant Systems
L4DC 2021
Stable Online Control of Linear Time-Varying Systems
L4DC 2021
STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization
AAAI 2021
Suboptimal coverings for continuous spaces of control tasks
L4DC 2021
Symbolic Dynamic Programming for Continuous State MDPs with Linear Program Transitions
IJCAI 2021
The ensmallen library for flexible numerical optimization
JMLR 2021
The Limits of Min-Max Optimization Algorithms: Convergence to Spurious Non-Critical Sets
ICML 2021
The Power of Factorial Powers: New Parameter settings for (Stochastic) Optimization
ACML 2021
The Sample Complexity of Level Set Approximation
AISTATS 2021
Thinking Inside the Ball: Near-Optimal Minimization of the Maximal Loss
COLT 2021
Thompson Sampling Algorithms for Cascading Bandits
JMLR 2021
Tight sampling and discarding bounds for scenario programs with an arbitrary number of removed samples
L4DC 2021
Towards Resolving the Implicit Bias of Gradient Descent for Matrix Factorization: Greedy Low-Rank Learning
ICLR 2021
Variational Data Assimilation with a Learned Inverse Observation Operator
ICML 2021
Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds
ACML 2021
Warm Starting CMA-ES for Hyperparameter Optimization
AAAI 2021
Zeroth-Order Non-Convex Learning via Hierarchical Dual Averaging
ICML 2021