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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)

A Universal Unbiased Method for Classification from Aggregate Observations ICML 2023 Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning ICML 2023 AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration ICCV 2023 Autoencoded sparse Bayesian in-IRT factorization, calibration, and amortized inference for the Work Disability Functional Assessment Battery AISTATS 2023 Auto-Encoding Goodness of Fit ICLR 2023 AutoGO: Automated Computation Graph Optimization for Neural Network Evolution NeurIPS 2023 AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks AAAI 2023 Automata Cascades: Expressivity and Sample Complexity AAAI 2023 Automated Knowledge Distillation via Monte Carlo Tree Search ICCV 2023 Automated Reachability Analysis of Neural Network-Controlled Systems via Adaptive Polytopes L4DC 2023 Automatically marginalized MCMC in probabilistic programming ICML 2023 Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger NeurIPS 2023 Automatic Data Augmentation via Invariance-Constrained Learning ICML 2023 Automatic Exploration of Optimal Data Processing Operations for Sound Data Augmentation Using Improved Differentiable Automatic Data Augmentation Interspeech 2023 Automatic Integration for Fast and Interpretable Neural Point Processes L4DC 2023 Automatic Integration for Spatiotemporal Neural Point Processes NeurIPS 2023 Automatic Marketing Theme and Commodity Construction System for E-commerce EMNLP 2023 Automatic Network Pruning via Hilbert-Schmidt Independence Criterion Lasso under Information Bottleneck Principle ICCV 2023 Automatic Prompt Optimization with “Gradient Descent” and Beam Search EMNLP 2023 Automatic Speech Recognition Transformer with Global Contextual Information Decoder Interspeech 2023 Automatic Truss Design with Reinforcement Learning IJCAI 2023 Automating Nearest Neighbor Search Configuration with Constrained Optimization ICLR 2023 AutoML for NLP EACL 2023 AutoML for Outlier Detection with Optimal Transport Distances IJCAI 2023 AutoMoE: Heterogeneous Mixture-of-Experts with Adaptive Computation for Efficient Neural Machine Translation ACL 2023