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Methodology
← Optimization
Mathematics & Optimization
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Optimization
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Optimization
1203 directly classified papers
Papers per year
2001: 1
2005: 1
2006: 8
2007: 5
2008: 3
2009: 6
2010: 5
2011: 17
2012: 24
2013: 52
2014: 41
2015: 36
2016: 36
2017: 47
2018: 72
2019: 76
2020: 106
2021: 120
2022: 126
2023: 128
2024: 203
2025: 88
2026: 2
Papers
Sequential and Parallel Constrained Max-value Entropy Search via Information Lower Bound
ICML 2022
Dimension-free Complexity Bounds for High-order Nonconvex Finite-sum Optimization
ICML 2022
More Efficient Sampling for Tensor Decomposition With Worst-Case Guarantees
ICML 2022
Permutation Search of Tensor Network Structures via Local Sampling
ICML 2022
Approximate Frank-Wolfe Algorithms over Graph-structured Support Sets
ICML 2022
LTL on Weighted Finite Traces: Formal Foundations and Algorithms
IJCAI 2022
Multimodal Colored Point Cloud to Image Alignment
CVPR 2022
A Communication-efficient Algorithm with Linear Convergence for Federated Minimax Learning
NIPS 2022
Optimal and Adaptive Monteiro-Svaiter Acceleration
NIPS 2022
The power of first-order smooth optimization for black-box non-smooth problems
ICML 2022
How to Fill the Optimum Set? Population Gradient Descent with Harmless Diversity
ICML 2022
Value Function based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems
ICML 2022
An Exact Symbolic Reduction of Linear Smart Predict+Optimize to Mixed Integer Linear Programming
ICML 2022
Optimal Algorithms for Stochastic Multi-Level Compositional Optimization
ICML 2022
Sharpened Quasi-Newton Methods: Faster Superlinear Rate and Larger Local Convergence Neighborhood
ICML 2022
Iterative Double Sketching for Faster Least-Squares Optimization
ICML 2022
Controlling Epidemic Spread using Probabilistic Diffusion Models on Networks
AISTATS 2022
On a Connection Between Fast and Sparse Oblivious Subspace Embeddings
AISTATS 2022
Finite Sample Analysis of Mean-Volatility Actor-Critic for Risk-Averse Reinforcement Learning
AISTATS 2022
A Dimensionality Reduction Method for Finding Least Favorable Priors with a Focus on Bregman Divergence
AISTATS 2022
Stochastic Extragradient: General Analysis and Improved Rates
AISTATS 2022
Nearly Optimal Algorithms for Level Set Estimation
AISTATS 2022
Constrained Optimization with Dynamic Bound-scaling for Effective NLP Backdoor Defense
ICML 2022
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization
AISTATS 2022
An Alternate Policy Gradient Estimator for Softmax Policies
AISTATS 2022
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