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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)

Efficient Online Learning for Dynamic k-Clustering ICML 2021 Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure AAAI 2021 Efficient PAC Reinforcement Learning in Regular Decision Processes IJCAI 2021 Efficient Querying for Cooperative Probabilistic Commitments AAAI 2021 Efficient Reinforcement Learning in Factored MDPs with Application to Constrained RL ICLR 2021 Efficient sampling from the Bingham distribution ALT 2021 Efficient Sampling of Dependency Structure EMNLP 2021 EfficientSing: A Chinese Singing Voice Synthesis System Using Duration-Free Acoustic Model and HiFi-GAN Vocoder Interspeech 2021 Efficient Statistical Tests: A Neural Tangent Kernel Approach ICML 2021 Efficient Training of Retrieval Models using Negative Cache NeurIPS 2021 Efficient Training of Robust Decision Trees Against Adversarial Examples ICML 2021 Efficient Truncated Linear Regression with Unknown Noise Variance NeurIPS 2021 Efficient Wideband Spectrum Sensing Using MEMS Acoustic Resonators NSDI 2021 EigenGame: PCA as a Nash Equilibrium ICLR 2021 Elastic Consistency: A Practical Consistency Model for Distributed Stochastic Gradient Descent AAAI 2021 Elastic Resource Sharing for Distributed Deep Learning NSDI 2021 Elementary superexpressive activations ICML 2021 ELF-VC: Efficient Learned Flexible-Rate Video Coding ICCV 2021 Embedding Principle of Loss Landscape of Deep Neural Networks NeurIPS 2021 Emphatic Algorithms for Deep Reinforcement Learning ICML 2021 Empirical Analysis of Generalized Iterative Speech Separation Networks Interspeech 2021 Empirical Bayes Matrix Factorization JMLR 2021 Empirical Evaluation of Pre-trained Transformers for Human-Level NLP: The Role of Sample Size and Dimensionality NAACL 2021 Empirical or Invariant Risk Minimization? A Sample Complexity Perspective ICLR 2021 Empowering Adaptive Early-Exit Inference with Latency Awareness AAAI 2021