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Optimization

14,983 papers

Papers per year

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Papers

PC-MLP: Model-based Reinforcement Learning with Policy Cover Guided Exploration ICML 2021
Fast Sketching of Polynomial Kernels of Polynomial Degree ICML 2021
Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums ICML 2021
Oblivious Sketching-based Central Path Method for Linear Programming ICML 2021
K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets ICML 2021
Nondeterminism and Instability in Neural Network Optimization ICML 2021
AutoSampling: Search for Effective Data Sampling Schedules ICML 2021
Reinforcement Learning for Cost-Aware Markov Decision Processes ICML 2021
Model-Targeted Poisoning Attacks with Provable Convergence ICML 2021
Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training ICML 2021
Approximation Theory Based Methods for RKHS Bandits ICML 2021
EfficientNetV2: Smaller Models and Faster Training ICML 2021
Taylor Expansion of Discount Factors ICML 2021
Moreau-Yosida $f$-divergences ICML 2021
BORE: Bayesian Optimization by Density-Ratio Estimation ICML 2021
Conservative Objective Models for Effective Offline Model-Based Optimization ICML 2021
SMG: A Shuffling Gradient-Based Method with Momentum ICML 2021
Active Deep Probabilistic Subsampling ICML 2021
Sparsifying Networks via Subdifferential Inclusion ICML 2021
Online Graph Dictionary Learning ICML 2021
Neuro-algorithmic Policies Enable Fast Combinatorial Generalization ICML 2021
Efficient Training of Robust Decision Trees Against Adversarial Examples ICML 2021
Principal Component Hierarchy for Sparse Quadratic Programs ICML 2021
Whitening and Second Order Optimization Both Make Information in the Dataset Unusable During Training, and Can Reduce or Prevent Generalization ICML 2021
Safe Reinforcement Learning Using Advantage-Based Intervention ICML 2021