Optimization
Markovian Sliced Wasserstein Distances: Beyond Independent Projections
Sliced Wasserstein (SW) distance suffers from redundant projections due to independent uniform random projecting directions.
Federated Multi-Objective Learning
Pareto stationary solution that is not improvable for all objectives without sacrificing some objectives.
Reduced Policy Optimization for Continuous Control with Hard Constraints Shutong Ding 1 Jingya Wang 1 Yali Du2Y e Shi 1 1
Recent advances in constrained reinforcement learning (RL) have endowed reinforcement learning with certain safety guarantees.
Global Identifiability of ℓ 1-based Dictionary Learning via Matrix Volume Optimization
On the theory side, most of the existing works have focused on algorithm design.
Global Identifiability of ℓ 1-based Dictionary Learning via Matrix Volume Optimization
On the theory side, most of the existing works have focused on algorithm design.