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← Optimization
Mathematics & Optimization
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Optimization
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Continuous Optimization
3907 directly classified papers
Papers per year
2001: 1
2002: 2
2004: 2
2005: 6
2006: 16
2007: 22
2008: 29
2009: 27
2010: 38
2011: 44
2012: 78
2013: 146
2014: 172
2015: 155
2016: 188
2017: 223
2018: 260
2019: 393
2020: 367
2021: 395
2022: 418
2023: 423
2024: 320
2025: 154
2026: 28
Papers
Provably Constant-time Planning and Re-planning for Real-time Grasping Objects off a Conveyor Belt
RSS 2020
A Generalized Framework for Edge-Preserving and Structure-Preserving Image Smoothing
AAAI 2020
A Greedy Anytime Algorithm for Sparse PCA
COLT 2020
Near-Optimal Algorithms for Minimax Optimization
COLT 2020
Better Algorithms for Estimating Non-Parametric Models in Crowd-Sourcing and Rank Aggregation
COLT 2020
Costly Zero Order Oracles
COLT 2020
Sample complexity bounds for localized sketching
AISTATS 2020
Convergence Analysis of Block Coordinate Algorithms with Determinantal Sampling
AISTATS 2020
Eigenvalue Normalized Recurrent Neural Networks for Short Term Memory
AAAI 2020
Pointwise Rotation-Invariant Network with Adaptive Sampling and 3D Spherical Voxel Convolution
AAAI 2020
A Certifiably Globally Optimal Solution to Generalized Essential Matrix Estimation
CVPR 2020
SP-PIFO: Approximating Push-In First-Out Behaviors using Strict-Priority Queues
NSDI 2020
Batchy: Batch-scheduling Data Flow Graphs with Service-level Objectives
NSDI 2020
A Practical Riemannian Algorithm for Computing Dominant Generalized Eigenspace
UAI 2020
Sensor Placement for Spatial Gaussian Processes with Integral Observations
UAI 2020
EiGLasso: Scalable Estimation of Cartesian Product of Sparse Inverse Covariance Matrices
UAI 2020
UWB at SemEval-2020 Task 1: Lexical Semantic Change Detection
SEMEVAL 2020
Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers
JMLR 2020
Fast Exact Matrix Completion: A Unified Optimization Framework for Matrix Completion
JMLR 2020
A General System of Differential Equations to Model First-Order Adaptive Algorithms
JMLR 2020
Neural Networks are Convex Regularizers: Exact Polynomial-time Convex Optimization Formulations for Two-layer Networks
ICML 2020
Fiedler Regularization: Learning Neural Networks with Graph Sparsity
ICML 2020
Transformation of ReLU-based recurrent neural networks from discrete-time to continuous-time
ICML 2020
Tracking Disaster Footprints with Social Streaming Data
AAAI 2020
Robust Low-Rank Discovery of Data-Driven Partial Differential Equations
AAAI 2020
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