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Methodology
← Optimization & Theory
Machine Learning
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Optimization & Theory
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Stochastic Methods
1077 directly classified papers
Papers per year
2005: 2
2006: 5
2007: 7
2008: 12
2009: 6
2010: 18
2011: 18
2012: 29
2013: 28
2014: 38
2015: 33
2016: 37
2017: 44
2018: 58
2019: 78
2020: 102
2021: 117
2022: 126
2023: 117
2024: 156
2025: 43
2026: 3
Papers
Towards Practical Adam: Non-Convexity, Convergence Theory, and Mini-Batch Acceleration
JMLR 2022
Matching in Multi-arm Bandit with Collision
NIPS 2022
Minimax Optimal Algorithms for Fixed-Budget Best Arm Identification
NIPS 2022
Accelerating Adaptive Cubic Regularization of Newton's Method via Random Sampling
JMLR 2022
Faster Stochastic Algorithms for Minimax Optimization under Polyak-{\L}ojasiewicz Condition
NIPS 2022
Neural Network-augmented Kalman Filtering for Robust Online Speech Dereverberation in Noisy Reverberant Environments
INTERSPEECH 2022
An Efficient Sampling Algorithm for Non-smooth Composite Potentials
JMLR 2022
Trajectory of Mini-Batch Momentum: Batch Size Saturation and Convergence in High Dimensions
NIPS 2022
Optimal Algorithms for Decentralized Stochastic Variational Inequalities
NIPS 2022
C-MinHash: Improving Minwise Hashing with Circulant Permutation
ICML 2022
LSB: Local Self-Balancing MCMC in Discrete Spaces
ICML 2022
On the SDEs and Scaling Rules for Adaptive Gradient Algorithms
NIPS 2022
On Mixup Regularization
JMLR 2022
Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation
NAACL 2022
Simple and Optimal Stochastic Gradient Methods for Nonsmooth Nonconvex Optimization
JMLR 2022
Non-Autoregressive Machine Translation: It’s Not as Fast as it Seems
NAACL 2022
Sampling Permutations for Shapley Value Estimation
JMLR 2022
The Correlation-assisted Missing Data Estimator
JMLR 2022
Bregman Proximal Langevin Monte Carlo via Bregman-Moreau Envelopes
ICML 2022
On Biased Stochastic Gradient Estimation
JMLR 2022
Higher-Order Dependency Parsing for Arc-Polynomial Score Functions via Gradient-Based Methods and Genetic Algorithm
IJCNLP 2022
On the Convergence of Local Stochastic Compositional Gradient Descent with Momentum
ICML 2022
Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes
ICML 2022
Statistical inference with implicit SGD: proximal Robbins-Monro vs. Polyak-Ruppert
ICML 2022
Least Squares Estimation using Sketched Data with Heteroskedastic Errors
ICML 2022
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