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)

Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization CVPR 2023 Exploring the Sensitivity of LLMs’ Decision-Making Capabilities: Insights from Prompt Variations and Hyperparameters EMNLP 2023 Exponential Generalization Bounds with Near-Optimal Rates for L_q-Stable Algorithms ICLR 2023 Exponential Hardness of Reinforcement Learning with Linear Function Approximation COLT 2023 Exponential Lower Bounds for Fictitious Play in Potential Games NeurIPS 2023 Exponentially Convergent Algorithms for Supervised Matrix Factorization NeurIPS 2023 Exponential Smoothing for Off-Policy Learning ICML 2023 ExposureDiffusion: Learning to Expose for Low-light Image Enhancement ICCV 2023 Extending Conformal Prediction to Hidden Markov Models with Exact Validity via de Finetti’s Theorem for Markov Chains ICML 2023 Extending DNN-based Multiplicative Masking to Deep Subband Filtering for Improved Dereverberation Interspeech 2023 Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman NeurIPS 2023 Extensible and Efficient Proxy for Neural Architecture Search ICCV 2023 Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction EACL 2023 Extrapolated Random Tree for Regression ICML 2023 FACE: Evaluating Natural Language Generation with Fourier Analysis of Cross-Entropy NeurIPS 2023 Facial Expression Recognition with Adaptive Frame Rate based on Multiple Testing Correction ICML 2023 Factorial SDE for Multi-Output Gaussian Process Regression AISTATS 2023 Factual Consistency Oriented Speech Recognition Interspeech 2023 FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels ICML 2023 Failure-Aware Gaussian Process Optimization with Regret Bounds NeurIPS 2023 Fair and Efficient Allocation of Indivisible Chores with Surplus IJCAI 2023 FAIRER: Fairness as Decision Rationale Alignment ICML 2023 Fairness and Accuracy under Domain Generalization ICLR 2023 Fairness-aware class imbalanced learning on multiple subgroups UAI 2023 Fairness in Contextual Resource Allocation Systems: Metrics and Incompatibility Results AAAI 2023