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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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Papers (including subtopics)

Tune It the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density ICCV 2021 Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer NeurIPS 2021 Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL NeurIPS 2021 Turbocharging Treewidth-Bounded Bayesian Network Structure Learning AAAI 2021 Turing Completeness of Bounded-Precision Recurrent Neural Networks NeurIPS 2021 Tusom2021: A Phonetically Transcribed Speech Dataset from an Endangered Language for Universal Phone Recognition Experiments Interspeech 2021 Twice regularized MDPs and the equivalence between robustness and regularization NeurIPS 2021 Two-Sided Wasserstein Procrustes Analysis IJCAI 2021 Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution NeurIPS 2021 Two-stage Training for Learning from Label Proportions IJCAI 2021 Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering ICML 2021 Type-augmented Relation Prediction in Knowledge Graphs AAAI 2021 Types of Out-of-Distribution Texts and How to Detect Them EMNLP 2021 UAG: Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks AAAI 2021 UASNet: Uncertainty Adaptive Sampling Network for Deep Stereo Matching ICCV 2021 UCB Momentum Q-learning: Correcting the bias without forgetting ICML 2021 Ultra Fast Speech Separation Model with Teacher Student Learning Interspeech 2021 UMEC: Unified model and embedding compression for efficient recommendation systems ICLR 2021 Unbiased gradient estimation for variational auto-encoders using coupled Markov chains UAI 2021 Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies ICML 2021 Uncertainty-aware Active Learning for Optimal Bayesian Classifier ICLR 2021 Uncertainty-Aware Balancing for Multilingual and Multi-Domain Neural Machine Translation Training EMNLP 2021 Uncertainty-Aware Camera Pose Estimation From Points and Lines CVPR 2021 Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data Interspeech 2021 Uncertainty-aware sensitivity analysis using Rényi divergences UAI 2021