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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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828
3,646
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2000
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Papers (including subtopics)

How Helpful is Inverse Reinforcement Learning for Table-to-Text Generation? ACL 2021 How Important is the Train-Validation Split in Meta-Learning? ICML 2021 How is BERT surprised? Layerwise detection of linguistic anomalies ACL 2021 How Many Layers and Why? An Analysis of the Model Depth in Transformers ACL 2021 How Much Over-parameterization Is Sufficient to Learn Deep ReLU Networks? ICLR 2021 How much pretraining data do language models need to learn syntax? EMNLP 2021 How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks ICLR 2021 How (Non-)Optimal is the Lexicon? NAACL 2021 How Powerful are Performance Predictors in Neural Architecture Search? NeurIPS 2021 How Robust are Model Rankings : A Leaderboard Customization Approach for Equitable Evaluation AAAI 2021 How Robust Are Randomized Smoothing Based Defenses to Data Poisoning? CVPR 2021 How rotational invariance of common kernels prevents generalization in high dimensions ICML 2021 How Tight Can PAC-Bayes be in the Small Data Regime? NeurIPS 2021 How to Evaluate a Summarizer: Study Design and Statistical Analysis for Manual Linguistic Quality Evaluation EACL 2021 How to Gain on Power: Novel Conditional Independence Tests Based on Short Expansion of Conditional Mutual Information JMLR 2021 How to Learn when Data Reacts to Your Model: Performative Gradient Descent ICML 2021 How to Save your Annotation Cost for Panoptic Segmentation? AAAI 2021 How Well Generative Adversarial Networks Learn Distributions JMLR 2021 H-Transformer-1D: Fast One-Dimensional Hierarchical Attention for Sequences ACL 2021 Human-Level Performance in No-Press Diplomacy via Equilibrium Search ICLR 2021 Human Pose Regression With Residual Log-Likelihood Estimation ICCV 2021 Hybrid Message Passing With Performance-Driven Structures for Facial Action Unit Detection CVPR 2021 Hybrid optimization between iterative and network fine-tuning reconstructions for fast quantitative susceptibility mapping MIDL 2021 Hybrid Probabilistic Inference with Logical and Algebraic Constraints: a Survey IJCAI 2021 Hybrid Regret Bounds for Combinatorial Semi-Bandits and Adversarial Linear Bandits NeurIPS 2021