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← Optimization & Theory
Machine Learning
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Optimization & Theory
›
Optimization
14,207 papers
Papers per year
2001: 10
2002: 9
2003: 16
2004: 6
2005: 16
2006: 58
2007: 67
2008: 72
2009: 84
2010: 106
2011: 132
2012: 164
2013: 333
2014: 295
2015: 310
2016: 380
2017: 509
2018: 669
2019: 1072
2020: 1217
2021: 1489
2022: 1470
2023: 1746
2024: 1819
2025: 1567
2026: 591
Papers
Non-Adaptive Randomized Algorithm for Group Testing
ALT 2017
Soft-Bayes: Prod for Mixtures of Experts with Log-Loss
ALT 2017
A Modular Analysis of Adaptive (Non-)Convex Optimization: Optimism, Composite Objectives, and Variational Bounds
ALT 2017
Homotopy Analysis for Tensor PCA
COLT 2017
Computationally Efficient Robust Sparse Estimation in High Dimensions
COLT 2017
The Sample Complexity of Optimizing a Convex Function
COLT 2017
Online Learning Without Prior Information
COLT 2017
Further and stronger analogy between sampling and optimization: Langevin Monte Carlo and gradient descent
COLT 2017
Stochastic Composite Least-Squares Regression with Convergence Rate $O(1/n)$
COLT 2017
Fast Rates for Empirical Risk Minimization of Strict Saddle Problems
COLT 2017
A Unified Analysis of Stochastic Optimization Methods Using Jump System Theory and Quadratic Constraints
COLT 2017
Bandits with Movement Costs and Adaptive Pricing
COLT 2017
Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis
COLT 2017
Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization
COLT 2017
Empirical Risk Minimization for Stochastic Convex Optimization: $O(1/n)$- and $O(1/n^2)$-type of Risk Bounds
COLT 2017
A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics
COLT 2017
Top-Rank Enhanced Listwise Optimization for Statistical Machine Translation
CONLL 2017
Optimizing Differentiable Relaxations of Coreference Evaluation Metrics
CONLL 2017
Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation
CVPR 2017
A Non-Convex Variational Approach to Photometric Stereo Under Inaccurate Lighting
CVPR 2017
Revisiting the Variable Projection Method for Separable Nonlinear Least Squares Problems
CVPR 2017
SGM-Nets: Semi-Global Matching With Neural Networks
CVPR 2017
Low-Rank Bilinear Pooling for Fine-Grained Classification
CVPR 2017
Beyond Triplet Loss: A Deep Quadruplet Network for Person Re-Identification
CVPR 2017
PolyNet: A Pursuit of Structural Diversity in Very Deep Networks
CVPR 2017
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