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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)

Sharper Generalization Bounds for Pairwise Learning NeurIPS 2020 Sharp Representation Theorems for ReLU Networks with Precise Dependence on Depth NeurIPS 2020 Sharp Statistical Guaratees for Adversarially Robust Gaussian Classification ICML 2020 Sharp Thresholds of the Information Cascade Fragility Under a Mismatched Model AISTATS 2020 Sharp uniform convergence bounds through empirical centralization NeurIPS 2020 ShiftAddNet: A Hardware-Inspired Deep Network NeurIPS 2020 Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading Platforms AAAI 2020 Short and Sparse Deconvolution --- A Geometric Approach ICLR 2020 Showing Your Work Doesn’t Always Work ACL 2020 Siamese Box Adaptive Network for Visual Tracking CVPR 2020 SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines AAAI 2020 Sideways: Depth-Parallel Training of Video Models CVPR 2020 SIGMORPHON 2020 Task 0 System Description: ETH Zürich Team ACL 2020 Significance Tests for Neural Networks JMLR 2020 Sign-OPT: A Query-Efficient Hard-label Adversarial Attack ICLR 2020 SIGUA: Forgetting May Make Learning with Noisy Labels More Robust ICML 2020 Similarity-and-Independence-Aware Beamformer: Method for Target Source Extraction Using Magnitude Spectrogram as Reference Interspeech 2020 Simple and Effective Regularization Methods for Training on Noisily Labeled Data with Generalization Guarantee ICLR 2020 Simple and Fast Algorithm for Binary Integer and Online Linear Programming NeurIPS 2020 Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness NeurIPS 2020 Simple and sharp analysis of k-means|| ICML 2020 Simplifying Hamiltonian and Lagrangian Neural Networks via Explicit Constraints NeurIPS 2020 Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations NeurIPS 2020 Simulator Calibration under Covariate Shift with Kernels AISTATS 2020 Simultaneous Arrival Matching for New Spatial Crowdsourcing Platforms IJCAI 2020