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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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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Estimation and Quantization of Expected Persistence Diagrams ICML 2021 Estimation of Spectral Risk Measures AAAI 2021 EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet Allocation AAAI 2021 Evaluating model performance under worst-case subpopulations NeurIPS 2021 Evaluating Neural Model Robustness for Machine Comprehension EACL 2021 Evaluating Relaxations of Logic for Neural Networks: A Comprehensive Study IJCAI 2021 Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable? ICML 2021 Evaluating State-of-the-Art Classification Models Against Bayes Optimality NeurIPS 2021 Evaluating the Extrapolation Capabilities of Neural Vocoders to Extreme Pitch Values Interspeech 2021 Evaluating the Implicit Midpoint Integrator for Riemannian Hamiltonian Monte Carlo ICML 2021 Evaluating Universal Dependency Parser Recovery of Predicate Argument Structure via CompChain Analysis ACL 2021 Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards? ACL 2021 EVALUATION OF NEURAL ARCHITECTURES TRAINED WITH SQUARE LOSS VS CROSS-ENTROPY IN CLASSIFICATION TASKS ICLR 2021 Evaluation of Unsupervised Automatic Readability Assessors Using Rank Correlations EMNLP 2021 Evaluation Scheme of Focal Translation for Japanese Partially Amended Statutes ACL 2021 EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization NeurIPS 2021 Evolutionary Approach for AutoAugment Using the Thermodynamical Genetic Algorithm AAAI 2021 Evolutionary Game Theory Squared: Evolving Agents in Endogenously Evolving Zero-Sum Games AAAI 2021 Evolutionary Gradient Descent for Non-convex Optimization IJCAI 2021 Evolution Gym: A Large-Scale Benchmark for Evolving Soft Robots NeurIPS 2021 Evolution Strategies for Approximate Solution of Bayesian Games AAAI 2021 Evolving Search Space for Neural Architecture Search ICCV 2021 Evolving Spiking Circuit Motifs Using Weight Agnostic Neural Networks AAAI 2021 Exact Asymptotics for Linear Quadratic Adaptive Control JMLR 2021 Exact Gap between Generalization Error and Uniform Convergence in Random Feature Models ICML 2021