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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)

Revisiting Knowledge Distillation via Label Smoothing Regularization CVPR 2020 Revisiting Online Quantum State Learning AAAI 2020 Revisiting Probability Distribution Assumptions for Information Theoretic Feature Selection AAAI 2020 Revisiting Representation Degeneration Problem in Language Modeling EMNLP 2020 Revisiting Saliency Metrics: Farthest-Neighbor Area Under Curve CVPR 2020 Revisiting the Landscape of Matrix Factorization AISTATS 2020 Revisiting the Notion of Extension over Incomplete Abstract Argumentation Frameworks IJCAI 2020 Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes NeurIPS 2020 Re-Weighted Interval Loss for Handling Data Imbalance Problem of End-to-End Keyword Spotting Interspeech 2020 RFocus: Beamforming Using Thousands of Passive Antennas NSDI 2020 Riccati updates for online linear quadratic control L4DC 2020 Ridge Regression: Structure, Cross-Validation, and Sketching ICLR 2020 Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian NeurIPS 2020 Rigging the Lottery: Making All Tickets Winners ICML 2020 Risk Bounds for Learning Multiple Components with Permutation-Invariant Losses AISTATS 2020 Risk Bounds for Low Cost Bipartite Ranking UAI 2020 Risk Bounds for Reservoir Computing JMLR 2020 Risk-Sensitive Reinforcement Learning: Near-Optimal Risk-Sample Tradeoff in Regret NeurIPS 2020 RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network CVPR 2020 RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference NeurIPS 2020 RNNs can generate bounded hierarchical languages with optimal memory EMNLP 2020 RNNs Incrementally Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients? ICLR 2020 ROAM: Recurrently Optimizing Tracking Model CVPR 2020 Robust, Accurate Stochastic Optimization for Variational Inference NeurIPS 2020 Robust Algorithms for Online k-means Clustering ALT 2020