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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)

Pareto Optimal Learning for Estimating Large Language Model Errors ACL 2024 Pareto Smoothed Importance Sampling JMLR 2024 PARSAC: Accelerating Robust Multi-Model Fitting with Parallel Sample Consensus AAAI 2024 Parsimonious Learning-Augmented Approximations for Dense Instances of NP-hard Problems ICML 2024 Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting NeurIPS 2024 Partial Binarization of Neural Networks for Budget-Aware Efficient Learning WACV 2024 Partial identification of the maximum mean discrepancy with mismeasured data UAI 2024 Partially Stochastic Infinitely Deep Bayesian Neural Networks ICML 2024 Partial observation can induce mechanistic mismatches in data-constrained models of neural dynamics NeurIPS 2024 Particle Semi-Implicit Variational Inference NeurIPS 2024 PASOA- PArticle baSed Bayesian Optimal Adaptive design ICML 2024 Passive Snapshot Coded Aperture Dual-Pixel RGB-D Imaging CVPR 2024 Patch2Self2: Self-supervised Denoising on Coresets via Matrix Sketching CVPR 2024 Path-Guided Particle-based Sampling ICML 2024 Pay to (Not) Play: Monetizing Impatience in Mobile Games AAAI 2024 PCIC at SMM4H 2024: Enhancing Reddit Post Classification on Social Anxiety Using Transformer Models and Advanced Loss Functions ACL 2024 PCICUNAM at WASSA 2024: Cross-lingual Emotion Detection Task with Hierarchical Classification and Weighted Loss Functions ACL 2024 PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion AAAI 2024 PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming ICML 2024 PE: A Poincare Explanation Method for Fast Text Hierarchy Generation EMNLP 2024 Pearls from Pebbles: Improved Confidence Functions for Auto-labeling NeurIPS 2024 Pedestrian Attribute Recognition as Label-balanced Multi-label Learning ICML 2024 Peeking with PEAK: Sequential, Nonparametric Composite Hypothesis Tests for Means of Multiple Data Streams ICML 2024 Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models ICLR 2024 Peer Neighborhood Mechanisms: A Framework for Mechanism Generalization AAAI 2024