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)

Correcting Language Model Outputs by Editing Salient Layers EACL 2024 Correction to "Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations" JMLR 2024 Correlated Binomial Process COLT 2024 Correlated Noise Provably Beats Independent Noise for Differentially Private Learning ICLR 2024 Corruption-Robust Linear Bandits: Minimax Optimality and Gap-Dependent Misspecification NeurIPS 2024 Corruption-Robust Lipschitz Contextual Search ALT 2024 COSMIC: Mutual Information for Task-Agnostic Summarization Evaluation ACL 2024 CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks ICML 2024 Cost-aware Bayesian Optimization via the Pandora's Box Gittins Index NeurIPS 2024 Cost-efficient Knowledge-based Question Answering with Large Language Models NeurIPS 2024 Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning NeurIPS 2024 Counterfactual Density Estimation using Kernel Stein Discrepancies ICLR 2024 Counting Stars is Constant-Degree Optimal For Detecting Any Planted Subgraph: Extended Abstract COLT 2024 Coupled Confusion Correction: Learning from Crowds with Sparse Annotations AAAI 2024 Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study AAAI 2024 Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine Learning AISTATS 2024 Covariate Shift Corrected Conditional Randomization Test NeurIPS 2024 Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data AAAI 2024 CPP-Net: Embracing Multi-Scale Feature Fusion into Deep Unfolding CP-PPA Network for Compressive Sensing CVPR 2024 CQIL: Inference Latency Optimization with Concurrent Computation of Quasi-Independent Layers ACL 2024 Credal Deep Ensembles for Uncertainty Quantification NeurIPS 2024 Credal Learning Theory NeurIPS 2024 Credit Attribution and Stable Compression NeurIPS 2024 CRIMED: Lower and Upper Bounds on Regret for Bandits with Unbounded Stochastic Corruption ALT 2024 Criterion Collapse and Loss Distribution Control ICML 2024