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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)

ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradient Accumulation ICCV 2023 Root Pose Decomposition Towards Generic Non-rigid 3D Reconstruction with Monocular Videos ICCV 2023 ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning ICLR 2023 Rule Induction in Knowledge Graphs Using Linear Programming AAAI 2023 Runtime Analyses of Multi-Objective Evolutionary Algorithms in the Presence of Noise IJCAI 2023 Runtime Analysis for the NSGA-II: Provable Speed-Ups from Crossover AAAI 2023 R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents ICML 2023 S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields ICCV 2023 SAAL: Sharpness-Aware Active Learning ICML 2023 Saddle-to-Saddle Dynamics in Diagonal Linear Networks NeurIPS 2023 SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability ICCV 2023 Safe and Efficient Reinforcement Learning using Disturbance-Observer-Based Control Barrier Functions L4DC 2023 Safe Exploration Incurs Nearly No Additional Sample Complexity for Reward-Free RL ICLR 2023 Safe Sequential Testing and Effect Estimation in Stratified Count Data AISTATS 2023 Safety Verification of Nonlinear Systems with Bayesian Neural Network Controllers AAAI 2023 SafeWebUH at SemEval-2023 Task 11: Learning Annotator Disagreement in Derogatory Text: Comparison of Direct Training vs Aggregation SemEval 2023 Same Pre-training Loss, Better Downstream: Implicit Bias Matters for Language Models ICML 2023 SAM operates far from home: eigenvalue regularization as a dynamical phenomenon ICML 2023 SAMoSSA: Multivariate Singular Spectrum Analysis with Stochastic Autoregressive Noise NeurIPS 2023 Sample based Explanations via Generalized Representers NeurIPS 2023 Sample Boosting Algorithm (SamBA) - An interpretable greedy ensemble classifier based on local expertise for fat data UAI 2023 Sample Complexity Bound for Evaluating the Robust Observer’s Performance under Coprime Factors Uncertainty L4DC 2023 Sample Complexity Bounds for Learning High-dimensional Simplices in Noisy Regimes ICML 2023 Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling NeurIPS 2023 Sample Complexity for Distributionally Robust Learning under chi-square divergence JMLR 2023