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)

Estimating the Contamination Factor’s Distribution in Unsupervised Anomaly Detection ICML 2023 Estimating the Uncertainty in Emotion Attributes using Deep Evidential Regression ACL 2023 Estimating Uncertainty in PET Image Reconstruction via Deep Posterior Sampling MIDL 2023 Estimation Beyond Data Reweighting: Kernel Method of Moments ICML 2023 Estimator Meets Equilibrium Perspective: A Rectified Straight Through Estimator for Binary Neural Networks Training ICCV 2023 ETHICIST: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confidence Estimation ACL 2023 Euler-Lagrange Analysis of Generative Adversarial Networks JMLR 2023 Evaluating Adversarial Robustness of Low dose CT Recovery MIDL 2023 Evaluating and Improving Interactions with Hazy Oracles AAAI 2023 Evaluating and reducing the distance between synthetic and real speech distributions Interspeech 2023 Evaluating Cross-Domain Text-to-SQL Models and Benchmarks EMNLP 2023 Evaluating Evaluation Metrics: A Framework for Analyzing NLG Evaluation Metrics using Measurement Theory EMNLP 2023 Evaluating Generative Networks Using Gaussian Mixtures of Image Features WACV 2023 Evaluating Instrument Validity using the Principle of Independent Mechanisms JMLR 2023 Evaluating Neuron Interpretation Methods of NLP Models NeurIPS 2023 Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts NeurIPS 2023 Evaluating Temporal Observation-Based Causal Discovery Techniques Applied to Road Driver Behaviour CLeaR 2023 Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis MIDL 2023 Evaluating the Moral Beliefs Encoded in LLMs NeurIPS 2023 Evaluating Transformer’s Ability to Learn Mildly Context-Sensitive Languages EMNLP 2023 Evaluating Zero-Shot Event Structures: Recommendations for Automatic Content Extraction (ACE) Annotations ACL 2023 Eva: Practical Second-order Optimization with Kronecker-vectorized Approximation ICLR 2023 Event Temporal Relation Extraction with Bayesian Translational Model EACL 2023 Eventual Discounting Temporal Logic Counterfactual Experience Replay ICML 2023 Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction NeurIPS 2023