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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)

Enabling Fast and Universal Audio Adversarial Attack Using Generative Model AAAI 2021 Enabling Fast Differentially Private SGD via Just-in-Time Compilation and Vectorization NeurIPS 2021 Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators ACL 2021 Enabling Retrain-free Deep Neural Network Pruning Using Surrogate Lagrangian Relaxation IJCAI 2021 Encouraging Lexical Translation Consistency for Document-Level Neural Machine Translation EMNLP 2021 End-to-End Constrained Optimization Learning: A Survey IJCAI 2021 End-to-End Learning of Coherent Probabilistic Forecasts for Hierarchical Time Series ICML 2021 End-to-End Object Detection With Fully Convolutional Network CVPR 2021 End-to-End Optimized Multi-Stage Vector Quantization of Spectral Envelopes for Speech and Audio Coding Interspeech 2021 Enhance Curvature Information by Structured Stochastic Quasi-Newton Methods CVPR 2021 Enhanced Regularizers for Attributional Robustness AAAI 2021 Enhancing E-commerce Recommender System Adaptability with Online Deep Controllable Learning-To-Rank AAAI 2021 Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem AAAI 2021 Enhancing the Transferability of Adversarial Attacks Through Variance Tuning CVPR 2021 Enlivening Redundant Heads in Multi-head Self-attention for Machine Translation EMNLP 2021 Enriching ImageNet With Human Similarity Judgments and Psychological Embeddings CVPR 2021 Ensemble Bootstrapping for Q-Learning ICML 2021 Ensembling With a Fixed Parameter Budget: When Does It Help and Why? ACML 2021 Entangled Kernels - Beyond Separability JMLR 2021 Entropic gradient descent algorithms and wide flat minima ICLR 2021 Entropy Partial Transport with Tree Metrics: Theory and Practice AISTATS 2021 Episodic Reinforcement Learning in Finite MDPs: Minimax Lower Bounds Revisited ALT 2021 Epsilon Best Arm Identification in Spectral Bandits IJCAI 2021 Equalization Loss v2: A New Gradient Balance Approach for Long-Tailed Object Detection CVPR 2021 Equilibrium and non-Equilibrium regimes in the learning of Restricted Boltzmann Machines NeurIPS 2021