Optimization
17,731 papers
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Papers
Safe Control with Neural Network Dynamic Models
L4DC 2022
Safe Exploration for Efficient Policy Evaluation and Comparison
ICML 2022
Safe Online Convex Optimization with Unknown Linear Safety Constraints
AAAI 2022
Safe Optimal Design with Applications in Off-Policy Learning
AISTATS 2022
Safe Robot Learning in Assistive Devices through Neural Network Repair
CoRL 2022
Safe Subgame Resolving for Extensive Form Correlated Equilibrium
AAAI 2022
Safety Guarantees for Neural Network Dynamic Systems via Stochastic Barrier Functions
NeurIPS 2022
SAGDA: Achieving O(ε^-2) Communication Complexity in Federated Min-Max Learning
NeurIPS 2022
Sample Complexity of Robust Reinforcement Learning with a Generative Model
AISTATS 2022
Sample Efficiency Matters: A Benchmark for Practical Molecular Optimization
NeurIPS 2022
Sample-Efficient Iterative Lower Bound Optimization of Deep Reactive Policies for Planning in Continuous MDPs
AAAI 2022
Sample-Then-Optimize Batch Neural Thompson Sampling
NeurIPS 2022
Sampling and Counting Acyclic Orientations in Chordal Graphs (Student Abstract)
AAAI 2022
Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural Machine Translation
EMNLP 2022
Sampling in Constrained Domains with Orthogonal-Space Variational Gradient Descent
NeurIPS 2022
Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization
NeurIPS 2022
Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity
WACV 2022
SAN: Stochastic Average Newton Algorithm for Minimizing Finite Sums
AISTATS 2022
SAPD+: An Accelerated Stochastic Method for Nonconvex-Concave Minimax Problems
NeurIPS 2022
Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation
ICML 2022
SC2-PCR: A Second Order Spatial Compatibility for Efficient and Robust Point Cloud Registration
CVPR 2022
Scalable and Memory-Efficient Algorithms for Controlling Networked Epidemic Processes Using Multiplicative Weights Update Method
IJCAI 2022
Scalable Computation of Causal Bounds
ICML 2022
Scalable ML Methods to Optimize KPIs in Real-World Manufacturing Processes
IJCAI 2022
Scalable One-Pass Optimisation of High-Dimensional Weight-Update Hyperparameters by Implicit Differentiation
ICLR 2022