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Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Smoothness and Stability in GANs ICLR 2020 Smooth Shells: Multi-Scale Shape Registration With Functional Maps CVPR 2020 SnapBoost: A Heterogeneous Boosting Machine NeurIPS 2020 SNODE: Spectral Discretization of Neural ODEs for System Identification ICLR 2020 Sobolev Norm Learning Rates for Regularized Least-Squares Algorithms JMLR 2020 SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation CoRL 2020 Softmax Dissection: Towards Understanding Intra- and Inter-Class Objective for Embedding Learning AAAI 2020 Soft Multicopter Control Using Neural Dynamics Identification CoRL 2020 SoftSort: A Continuous Relaxation for the argsort Operator ICML 2020 Soft Threshold Weight Reparameterization for Learnable Sparsity ICML 2020 Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers NeurIPS 2020 Solving Analogies on Words based on Minimal Complexity Transformation IJCAI 2020 Solving Bernoulli Rank-One Bandits with Unimodal Thompson Sampling ALT 2020 Solving Discounted Stochastic Two-Player Games with Near-Optimal Time and Sample Complexity AISTATS 2020 Solving General Elliptical Mixture Models through an Approximate Wasserstein Manifold AAAI 2020 Solving Multiple Inference by Minimizing Expected Loss PGM 2020 Source Separation with Deep Generative Priors ICML 2020 SpanAlign: Sentence Alignment Method based on Cross-Language Span Prediction and ILP COLING 2020 SPAN: A Stochastic Projected Approximate Newton Method AAAI 2020 Span-Based Neural Buffer: Towards Efficient and Effective Utilization of Long-Distance Context for Neural Sequence Models AAAI 2020 Span Recovery for Deep Neural Networks with Applications to Input Obfuscation ICLR 2020 Sparse and low-rank multivariate Hawkes processes JMLR 2020 Sparse and Low-rank Tensor Estimation via Cubic Sketchings AISTATS 2020 Sparse Coding with Gated Learned ISTA ICLR 2020 Sparse Gaussian Processes with Spherical Harmonic Features ICML 2020