conftrace_
← Optimization & Theory
Machine Learning › Optimization & Theory ›

Optimization

14,983 papers

Papers per year

18
112
342
1289
1646
'05
'10
'15
'20
'25

Papers

Learning Data Augmentation With Online Bilevel Optimization for Image Classification WACV 2021
Covariance-Free Partial Least Squares: An Incremental Dimensionality Reduction Method WACV 2021
Cinematic-L1 Video Stabilization With a Log-Homography Model WACV 2021
Receptive Field Size Optimization With Continuous Time Pooling WACV 2021
IGSSTRCF: Importance Guided Sparse Spatio-Temporal Regularized Correlation Filters for Tracking WACV 2021
3D Human Pose and Shape Estimation Through Collaborative Learning and Multi-View Model-Fitting WACV 2021
Accelerated WGAN Update Strategy With Loss Change Rate Balancing WACV 2021
Do We Really Need Gold Samples for Sample Weighting Under Label Noise? WACV 2021
Conditional Poisson Stochastic Beam Search EMNLP 2021
Benchmarking Deep Inverse Models over time, and the Neural-Adjoint method NIPS 2020
Off-Policy Evaluation and Learning for External Validity under a Covariate Shift NIPS 2020
Improved Algorithms for Online Submodular Maximization via First-order Regret Bounds NIPS 2020
The Statistical Complexity of Early-Stopped Mirror Descent NIPS 2020
Minimax Classification with 0-1 Loss and Performance Guarantees NIPS 2020
Coresets for Regressions with Panel Data NIPS 2020
Learning Composable Energy Surrogates for PDE Order Reduction NIPS 2020
Deterministic Approximation for Submodular Maximization over a Matroid in Nearly Linear Time NIPS 2020
Rankmax: An Adaptive Projection Alternative to the Softmax Function NIPS 2020
Robust compressed sensing using generative models NIPS 2020
Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian NIPS 2020
Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization NIPS 2020
Coresets for Near-Convex Functions NIPS 2020
Improved Schemes for Episodic Memory-based Lifelong Learning NIPS 2020
Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond NIPS 2020
Adaptation Properties Allow Identification of Optimized Neural Codes NIPS 2020