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Optimization

341 directly classified papers

Papers per year

Papers

Instead of Rewriting Foreign Code for Machine Learning, Automatically Synthesize Fast Gradients NIPS 2020
Autofocused oracles for model-based design NIPS 2020
Smoothly Bounding User Contributions in Differential Privacy NIPS 2020
Planning with General Objective Functions: Going Beyond Total Rewards NIPS 2020
Robust Sequence Submodular Maximization NIPS 2020
Practical Two-Step Lookahead Bayesian Optimization NIPS 2019
Policy Poisoning in Batch Reinforcement Learning and Control NIPS 2019
Private Stochastic Convex Optimization with Optimal Rates NIPS 2019
ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization NIPS 2019
Minimal Variance Sampling in Stochastic Gradient Boosting NIPS 2019
Data Cleansing for Models Trained with SGD NIPS 2019
On The Classification-Distortion-Perception Tradeoff NIPS 2019
Differentially Private Empirical Risk Minimization with Smooth Non-Convex Loss Functions: A Non-Stationary View AAAI 2019
The Kelly Growth Optimal Portfolio with Ensemble Learning AAAI 2019
Variance Reduction for Matrix Games NIPS 2019
Parameterized Heuristics for Incomplete Weighted CSPs AAAI 2019
MFBO-SSM: Multi-Fidelity Bayesian Optimization for Fast Inference in State-Space Models AAAI 2019
Scalable Global Optimization via Local Bayesian Optimization NIPS 2019
Eliminating Exposure Bias and Metric Mismatch in Multiple Object Tracking CVPR 2019
Accelerating Rescaled Gradient Descent: Fast Optimization of Smooth Functions NIPS 2019
UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization NIPS 2019
Fast Parallel Algorithms for Statistical Subset Selection Problems NIPS 2019
A Communication Efficient Stochastic Multi-Block Alternating Direction Method of Multipliers NIPS 2019
Distributed estimation of the inverse Hessian by determinantal averaging NIPS 2019
Distributionally Robust Submodular Maximization AISTATS 2019