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Methodology
← Core Methods
Machine Learning
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Optimization
1184 directly classified papers
Papers per year
2001: 2
2002: 1
2003: 1
2004: 2
2005: 3
2006: 12
2007: 12
2008: 20
2009: 10
2010: 15
2011: 15
2012: 36
2013: 76
2014: 59
2015: 48
2016: 45
2017: 58
2018: 61
2019: 72
2020: 82
2021: 95
2022: 111
2023: 101
2024: 144
2025: 100
2026: 3
Papers
Quality-Aware Decoding for Neural Machine Translation
NAACL 2022
Distributed Stochastic Gradient Descent: Nonconvexity, Nonsmoothness, and Convergence to Local Minima
JMLR 2022
HyperImpute: Generalized Iterative Imputation with Automatic Model Selection
ICML 2022
Loss Function Learning for Domain Generalization by Implicit Gradient
ICML 2022
Maxmin Participatory Budgeting
IJCAI 2022
Outlier-Robust Optimal Transport: Duality, Structure, and Statistical Analysis
AISTATS 2022
Robust Training in High Dimensions via Block Coordinate Geometric Median Descent
AISTATS 2022
Fast Sparse Classification for Generalized Linear and Additive Models
AISTATS 2022
Second-Order Sensitivity Analysis for Bilevel Optimization
AISTATS 2022
Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes
AISTATS 2022
Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification
ICML 2022
Faster Single-loop Algorithms for Minimax Optimization without Strong Concavity
AISTATS 2022
How and When Random Feedback Works: A Case Study of Low-Rank Matrix Factorization
AISTATS 2022
Momentum Accelerates the Convergence of Stochastic AUPRC Maximization
AISTATS 2022
Noise Regularizes Over-parameterized Rank One Matrix Recovery, Provably
AISTATS 2022
Iterative Double Sketching for Faster Least-Squares Optimization
ICML 2022
Dimensionality Reduction and Prioritized Exploration for Policy Search
AISTATS 2022
On Structured Filtering-Clustering: Global Error Bound and Optimal First-Order Algorithms
AISTATS 2022
Adaptively Partitioning Max-Affine Estimators for Convex Regression
AISTATS 2022
Analyzing and Mitigating Interference in Neural Architecture Search
ICML 2022
ELMER: A Non-Autoregressive Pre-trained Language Model for Efficient and Effective Text Generation
EMNLP 2022
Homography Loss for Monocular 3D Object Detection
CVPR 2022
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics
NAACL 2022
Fast Lossless Neural Compression with Integer-Only Discrete Flows
ICML 2022
Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search
CVPR 2022
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