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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)

Aligning Predictive Uncertainty with Clarification Questions in Grounded Dialog EMNLP 2023 Alignment via Mutual Information CoNLL 2023 A Likelihood Approach to Nonparametric Estimation of a Singular Distribution Using Deep Generative Models JMLR 2023 A Line-Search Descent Algorithm for Strict Saddle Functions with Complexity Guarantees JMLR 2023 Allocating Divisible Resources on Arms with Unknown and Random Rewards COLT 2023 Almost Linear Constant-Factor Sketching for ℓ_1 and Logistic Regression ICLR 2023 (Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy NeurIPS 2023 A Long N-step Surrogate Stage Reward for Deep Reinforcement Learning NeurIPS 2023 A Lower Bound for Linear and Kernel Regression with Adaptive Covariates COLT 2023 AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving OSDI 2023 AlphaD3M: An Open-Source AutoML Library for Multiple ML Tasks AutoML 2023 Alpha-divergence Variational Inference Meets Importance Weighted Auto-Encoders: Methodology and Asymptotics JMLR 2023 Alternately Optimized Graph Neural Networks ICML 2023 Alternating Differentiation for Optimization Layers ICLR 2023 Alternating Layered Variational Quantum Circuits Can Be Classically Optimized Efficiently Using Classical Shadows AAAI 2023 Alternating Projected SGD for Equality-constrained Bilevel Optimization AISTATS 2023 Alternating Updates for Efficient Transformers NeurIPS 2023 A Mathematical Model for Curriculum Learning for Parities ICML 2023 A Mathematical Runtime Analysis of the Non-dominated Sorting Genetic Algorithm III (NSGA-III) IJCAI 2023 Ambiguity Meets Uncertainty: Investigating Uncertainty Estimation for Word Sense Disambiguation ACL 2023 AMDP: An Adaptive Detection Procedure for False Discovery Rate Control in High-Dimensional Mediation Analysis NeurIPS 2023 A Measure-Theoretic Characterization of Tight Language Models ACL 2023 A Meta-Learning Approach to Predicting Performance and Data Requirements CVPR 2023 A Mini-Block Fisher Method for Deep Neural Networks AISTATS 2023 A Mixed-Precision Quantization Method without Accuracy Degradation Using Semilayers ACML 2023