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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)

IAPT: Instance-Aware Prompt Tuning for Large Language Models ACL 2024 I-CEE: Tailoring Explanations of Image Classification Models to User Expertise AAAI 2024 ICON: Incremental CONfidence for Joint Pose and Radiance Field Optimization CVPR 2024 Identifiability Analysis of Linear ODE Systems with Hidden Confounders NeurIPS 2024 Identifiability and Asymptotics in Learning Homogeneous Linear ODE Systems from Discrete Observations JMLR 2024 Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank ICML 2024 Identifiability of Direct Effects from Summary Causal Graphs AAAI 2024 Identifiability of Product of Experts Models AISTATS 2024 Identifiable Feature Learning for Spatial Data with Nonlinear ICA AISTATS 2024 Identifiable Latent Polynomial Causal Models through the Lens of Change ICLR 2024 Identification and Estimation for Nonignorable Missing Data: A Data Fusion Approach ICML 2024 Identification and Estimation of Conditional Average Partial Causal Effects via Instrumental Variable UAI 2024 Identification and Estimation of the Bi-Directional MR with Some Invalid Instruments NeurIPS 2024 Identification for Tree-Shaped Structural Causal Models in Polynomial Time AAAI 2024 Identification of Analytic Nonlinear Dynamical Systems with Non-asymptotic Guarantees NeurIPS 2024 Identification of mixtures of discrete product distributions in near-optimal sample and time complexity COLT 2024 Identifying and Addressing Disparities in Public Libraries with Bayesian Latent Variable Modeling AAAI 2024 Identifying Causal Effects Under Functional Dependencies NeurIPS 2024 Identifying Causal Effects using Instrumental Time Series: Nuisance IV and Correcting for the Past JMLR 2024 Identifying Confounding from Causal Mechanism Shifts AISTATS 2024 Identifying Copeland Winners in Dueling Bandits with Indifferences AISTATS 2024 Identifying Equivalent Training Dynamics NeurIPS 2024 Identifying Important Group of Pixels using Interactions CVPR 2024 Identifying Label Errors in Object Detection Datasets by Loss Inspection WACV 2024 Identifying Policy Gradient Subspaces ICLR 2024