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Optimization

1,521 papers

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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