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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)

ResIST: Layer-wise decomposition of ResNets for distributed training UAI 2022 Resolving Inconsistencies in Simple Temporal Problems: A Parameterized Approach AAAI 2022 Resolving Training Biases via Influence-based Data Relabeling ICLR 2022 Resonance in Weight Space: Covariate Shift Can Drive Divergence of SGD with Momentum ICLR 2022 Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the $O(ε^-7/4)$ Complexity ICML 2022 Restorable Image Operators with Quasi-Invertible Networks AAAI 2022 Results of WMT22 Metrics Shared Task: Stop Using BLEU – Neural Metrics Are Better and More Robust EMNLP 2022 Rethinking Adversarial Transferability from a Data Distribution Perspective ICLR 2022 Rethinking and Refining the Distinct Metric ACL 2022 Rethinking Attention-Model Explainability through Faithfulness Violation Test ICML 2022 Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation CVPR 2022 Rethinking Class-Prior Estimation for Positive-Unlabeled Learning ICLR 2022 Rethinking Fano’s Inequality in Ensemble Learning ICML 2022 Rethinking Influence Functions of Neural Networks in the Over-Parameterized Regime AAAI 2022 Rethinking InfoNCE: How Many Negative Samples Do You Need? IJCAI 2022 Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective NeurIPS 2022 Rethinking Optimization with Differentiable Simulation from a Global Perspective CoRL 2022 Rethinking Reconstruction Autoencoder-Based Out-of-Distribution Detection CVPR 2022 Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones Is Enough AAAI 2022 Rethinking the Setting of Semi-supervised Learning on Graphs IJCAI 2022 Rethinking Value Function Learning for Generalization in Reinforcement Learning NeurIPS 2022 Rethinking Variational Inference for Probabilistic Programs with Stochastic Support NeurIPS 2022 RetrieverTTS: Modeling Decomposed Factors for Text-Based Speech Insertion Interspeech 2022 Return of the bias: Almost minimax optimal high probability bounds for adversarial linear bandits COLT 2022 ReVar: Strengthening policy evaluation via reduced variance sampling UAI 2022