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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

1
52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Simpler Certified Radius Maximization by Propagating Covariances CVPR 2021 Simple Spectral Graph Convolution ICLR 2021 Simple steps are all you need: Frank-Wolfe and generalized self-concordant functions NeurIPS 2021 Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning NeurIPS 2021 Simpson's Bias in NLP Training AAAI 2021 Simultaneous Change Point Inference and Structure Recovery for High Dimensional Gaussian Graphical Models JMLR 2021 Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series AISTATS 2021 Single-Channel Speech Enhancement Using Learnable Loss Mixup Interspeech 2021 Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection NeurIPS 2021 Single-Timescale Actor-Critic Provably Finds Globally Optimal Policy ICLR 2021 Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training ICML 2021 Size and Depth Separation in Approximating Benign Functions with Neural Networks COLT 2021 Skew-symmetrically perturbed gradient flow for convex optimization ACML 2021 SKFAC: Training Neural Networks With Faster Kronecker-Factored Approximate Curvature CVPR 2021 SKIing on Simplices: Kernel Interpolation on the Permutohedral Lattice for Scalable Gaussian Processes ICML 2021 Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method NeurIPS 2021 Sliced Iterative Normalizing Flows ICML 2021 Sliced Kernelized Stein Discrepancy ICLR 2021 Slice Sampling Reparameterization Gradients NeurIPS 2021 Slot Machines: Discovering Winning Combinations of Random Weights in Neural Networks ICML 2021 Small random initialization is akin to spectral learning: Optimization and generalization guarantees for overparameterized low-rank matrix reconstruction NeurIPS 2021 SmBoP: Semi-autoregressive Bottom-up Semantic Parsing ACL 2021 SmBoP: Semi-autoregressive Bottom-up Semantic Parsing NAACL 2021 SMD-Nets: Stereo Mixture Density Networks CVPR 2021 SMG: A Shuffling Gradient-Based Method with Momentum ICML 2021