Skip to content
conftrace_

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
'5
'10
'15
'20
'25

Papers (including subtopics)

Game-Theoretic Unlearnable Example Generator AAAI 2024 GAOKAO-MM: A Chinese Human-Level Benchmark for Multimodal Models Evaluation ACL 2024 Gated Inference Network: Inference and Learning State-Space Models NeurIPS 2024 Gaussian Approximation and Multiplier Bootstrap for Polyak-Ruppert Averaged Linear Stochastic Approximation with Applications to TD Learning NeurIPS 2024 Gaussian Cooling and Dikin Walks: The Interior-Point Method for Logconcave Sampling COLT 2024 Gaussian Mixture Models with Rare Events JMLR 2024 GaussianPro: 3D Gaussian Splatting with Progressive Propagation ICML 2024 Gaussian Process Bandits for Top-k Recommendations NeurIPS 2024 Gaussian Process Optimization for Adaptable Multi-Objective Text Generation using Linearly-Weighted Language Models NAACL 2024 Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels AISTATS 2024 GC-Bench: An Open and Unified Benchmark for Graph Condensation NeurIPS 2024 GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo WACV 2024 G-DIG: Towards Gradient-based DIverse and hiGh-quality Instruction Data Selection for Machine Translation ACL 2024 Gender and age based f0-variation in the German Plapper Corpus Interspeech 2024 General Graph Random Features ICLR 2024 Generalisation First, Memorisation Second? Memorisation Localisation for Natural Language Classification Tasks ACL 2024 Generalising Planning Environment Redesign AAAI 2024 Generalizable and Stable Finetuning of Pretrained Language Models on Low-Resource Texts NAACL 2024 Generalizable Symbolic Optimizer Learning ECCV 2024 Generalizablity of Memorization Neural Network NeurIPS 2024 Generalization Analysis for Label-Specific Representation Learning NeurIPS 2024 Generalization Analysis for Multi-Label Learning ICML 2024 Generalization Analysis of Deep Non-linear Matrix Completion ICML 2024 Generalization Analysis of Machine Learning Algorithms via the Worst-Case Data-Generating Probability Measure AAAI 2024 Generalization Analysis of Stochastic Weight Averaging with General Sampling ICML 2024