Co-occurring keywords · papers mentioning both
Papers
Safely Learning Dynamical Systems from Short Trajectories
L4DC 2021
Scaling the Convex Barrier with Active Sets
ICLR 2021
Trembling-Hand Perfection and Correlation in Sequential Games
AAAI 2021
Wasserstein barycenters can be computed in polynomial time in fixed dimension
JMLR 2021
Approximate Pareto Set for Fair and Efficient Allocation: Few Agent Types or Few Resource Types
IJCAI 2020
Asking the Right Questions to the Right Users: Active Learning with Imperfect Oracles
AAAI 2020
A Unified Model for the Two-stage Offline-then-Online Resource Allocation
IJCAI 2020
Defending with Shared Resources on a Network
AAAI 2020
DLWL: Improving Detection for Lowshot Classes With Weakly Labelled Data
CVPR 2020
ECLIPSE: An Extreme-Scale Linear Program Solver for Web-Applications
ICML 2020
Extrapolating the profile of a finite population
COLT 2020
Fastened CROWN: Tightened Neural Network Robustness Certificates
AAAI 2020
Faster Randomized Infeasible Interior Point Methods for Tall/Wide Linear Programs
NeurIPS 2020
Finding Robust Nash equilibria
ALT 2020
Finer Metagenomic Reconstruction via Biodiversity Optimization
NeurIPS 2020
Improved Vector Pruning in Exact Algorithms for Solving POMDPs
UAI 2020
Interior Point Solving for LP-based prediction+optimisation
NeurIPS 2020
Learning Linear Programs from Optimal Decisions
NeurIPS 2020
Reinforcement Learning of Risk-Constrained Policies in Markov Decision Processes
AAAI 2020
Simple and Fast Algorithm for Binary Integer and Online Linear Programming
NeurIPS 2020
Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems
AAAI 2020
Sparsified Linear Programming for Zero-Sum Equilibrium Finding
ICML 2020
Steady-State Policy Synthesis in Multichain Markov Decision Processes
IJCAI 2020
The Convex Relaxation Barrier, Revisited: Tightened Single-Neuron Relaxations for Neural Network Verification
NeurIPS 2020
Tight Approximation for Proportional Approval Voting
IJCAI 2020