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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)

Style-Aware Normalized Loss for Improving Arbitrary Style Transfer CVPR 2021 Subgaussian and Differentiable Importance Sampling for Off-Policy Evaluation and Learning NeurIPS 2021 Subgroup Generalization and Fairness of Graph Neural Networks NeurIPS 2021 Sublinear Classical and Quantum Algorithms for General Matrix Games AAAI 2021 Submodular combinatorial information measures with applications in machine learning ALT 2021 Submodular Maximization subject to a Knapsack Constraint: Combinatorial Algorithms with Near-optimal Adaptive Complexity ICML 2021 Submodular Span, with Applications to Conditional Data Summarization AAAI 2021 Suboptimal coverings for continuous spaces of control tasks L4DC 2021 Subquadratic Overparameterization for Shallow Neural Networks NeurIPS 2021 Sub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances AAAI 2021 Subseasonal climate prediction in the western US using Bayesian spatial models UAI 2021 Subset-of-data variational inference for deep Gaussian-processes regression UAI 2021 Subspace Embeddings under Nonlinear Transformations ALT 2021 Subtitle Translation as Markup Translation Interspeech 2021 Successive Halving Top-k Operator AAAI 2021 SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients NeurIPS 2021 SUPERB: Speech Processing Universal PERformance Benchmark Interspeech 2021 Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization ACL 2021 Supervising the Transfer of Reasoning Patterns in VQA NeurIPS 2021 Support Recovery of Sparse Signals from a Mixture of Linear Measurements NeurIPS 2021 Support vector machines and linear regression coincide with very high-dimensional features NeurIPS 2021 SURPRISE! and When to Schedule It. IJCAI 2021 Surrogate Regret Bounds for Polyhedral Losses NeurIPS 2021 SWAD: Domain Generalization by Seeking Flat Minima NeurIPS 2021 SWEAT: Scoring Polarization of Topics across Different Corpora EMNLP 2021