conftrace_

constrained optimization

281 papers

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Also known as

CO

Co-occurring keywords

policy optimization (657) stochastic optimization (1060) convex optimization (1321) constraint satisfaction (294) regret bound (1926) bayesian optimization (624) safe reinforcement learning (120) fairness constraint (125) neural network (6616) nonconvex optimization (316)

Papers

Multispectral Illumination Estimation Using Deep Unrolling Network ICCV 2021
CBP: backpropagation with constraint on weight precision using a pseudo-Lagrange multiplier method NIPS 2021
Offline Constrained Multi-Objective Reinforcement Learning via Pessimistic Dual Value Iteration NIPS 2021
Safe Driving via Expert Guided Policy Optimization CORL 2021
Model-Based Domain Generalization NIPS 2021
Scalable Constrained Bayesian Optimization AISTATS 2021
Private optimization without constraint violations AISTATS 2021
Projection-Free Optimization on Uniformly Convex Sets AISTATS 2021
Synchronization of Group-Labelled Multi-Graphs ICCV 2021
Deep Conservation: A Latent-Dynamics Model for Exact Satisfaction of Physical Conservation Laws AAAI 2021
Learning a Gradient-free Riemannian Optimizer on Tangent Spaces AAAI 2021
Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning AAAI 2021
On a Utilitarian Approach to Privacy Preserving Text Generation NAACL 2021
Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing Regressions In NLP Model Updates IJCNLP 2021
Scalable Inference of Sparsely-changing Gaussian Markov Random Fields NIPS 2021
Escaping from zero gradient: Revisiting action-constrained reinforcement learning via Frank-Wolfe policy optimization UAI 2021
Amortized Synthesis of Constrained Configurations Using a Differentiable Surrogate NIPS 2021
Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes NIPS 2021
First Order Constrained Optimization in Policy Space NIPS 2020
Can Stochastic Zeroth-Order Frank-Wolfe Method Converge Faster for Non-Convex Problems? ICML 2020
FNNC: Achieving Fairness through Neural Networks IJCAI 2020
Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization ICML 2020
Learning Mutational Semantics NIPS 2020
Efficient Projection-free Algorithms for Saddle Point Problems NIPS 2020
Too Relaxed to Be Fair ICML 2020