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← Optimization & Theory
Machine Learning
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Optimization & Theory
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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
Planar Time Optimal Paths for Non-Symmetric Vehicles in Constant Flows
RSS 2016
Routing Autonomous Vehicles in Congested Transportation Networks: Structural Properties and Coordination Algorithms
RSS 2016
Combined Optimization and Reinforcement Learning for Manipulation Skills
RSS 2016
Functional Gradient Motion Planning in Reproducing Kernel Hilbert Spaces
RSS 2016
Quartz: Randomized Dual Coordinate Ascent with Arbitrary Sampling
NIPS 2015
Policy Gradient for Coherent Risk Measures
NIPS 2015
A fast, universal algorithm to learn parametric nonlinear embeddings
NIPS 2015
Matrix Completion with Noisy Side Information
NIPS 2015
Sparse Linear Programming via Primal and Dual Augmented Coordinate Descent
NIPS 2015
Online Gradient Boosting
NIPS 2015
Barrier Frank-Wolfe for Marginal Inference
NIPS 2015
Time-Sensitive Recommendation From Recurrent User Activities
NIPS 2015
High Dimensional EM Algorithm: Statistical Optimization and Asymptotic Normality
NIPS 2015
Learning Continuous Control Policies by Stochastic Value Gradients
NIPS 2015
Efficient Non-greedy Optimization of Decision Trees
NIPS 2015
Learning with Incremental Iterative Regularization
NIPS 2015
Maximum Likelihood Learning With Arbitrary Treewidth via Fast-Mixing Parameter Sets
NIPS 2015
Combinatorial Cascading Bandits
NIPS 2015
Local Smoothness in Variance Reduced Optimization
NIPS 2015
A Convergent Gradient Descent Algorithm for Rank Minimization and Semidefinite Programming from Random Linear Measurements
NIPS 2015
Model-Based Relative Entropy Stochastic Search
NIPS 2015
Empirical Localization of Homogeneous Divergences on Discrete Sample Spaces
NIPS 2015
Online Learning for Adversaries with Memory: Price of Past Mistakes
NIPS 2015
Information-theoretic lower bounds for convex optimization with erroneous oracles
NIPS 2015
A Nonconvex Optimization Framework for Low Rank Matrix Estimation
NIPS 2015
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