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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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2000
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Papers (including subtopics)

Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy to Game NeurIPS 2021 Beyond Bandit Feedback in Online Multiclass Classification NeurIPS 2021 Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise AAAI 2021 Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference EMNLP 2021 Beyond Glass-Box Features: Uncertainty Quantification Enhanced Quality Estimation for Neural Machine Translation EMNLP 2021 Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations? AISTATS 2021 Beyond Perturbation Stability: LP Recovery Guarantees for MAP Inference on Noisy Stable Instances AISTATS 2021 Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good! MIDL 2021 Beyond Reptile: Meta-Learned Dot-Product Maximization between Gradients for Improved Single-Task Regularization EMNLP 2021 Beyond Tikhonov: faster learning with self-concordant losses, via iterative regularization NeurIPS 2021 Beyond Value-Function Gaps: Improved Instance-Dependent Regret Bounds for Episodic Reinforcement Learning NeurIPS 2021 Beyond Variance Reduction: Understanding the True Impact of Baselines on Policy Optimization ICML 2021 Bias and variance of the Bayesian-mean decoder NeurIPS 2021 Bias-Free Scalable Gaussian Processes via Randomized Truncations ICML 2021 Bias Loss for Mobile Neural Networks ICCV 2021 Bias-Robust Bayesian Optimization via Dueling Bandits ICML 2021 Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models IJCAI 2021 Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning ICML 2021 Bidirectional Hierarchical Attention Networks based on Document-level Context for Emotion Cause Extraction EMNLP 2021 BigGreen at SemEval-2021 Task 1: Lexical Complexity Prediction with Assembly Models SemEval 2021 Bike-Repositioning Using Volunteers: Crowd Sourcing with Choice Restriction AAAI 2021 Bilevel Online Adaptation for Out-of-Domain Human Mesh Reconstruction CVPR 2021 Bilevel Optimization: Convergence Analysis and Enhanced Design ICML 2021 Bilinear Classes: A Structural Framework for Provable Generalization in RL ICML 2021 Bilinear Parameterization for Non-Separable Singular Value Penalties CVPR 2021