54 citations · 225 across the 30 of their papers we have counts for
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cs.LG2023★ 2 cited
Federated Composite Saddle Point Optimization
Site Bai, Brian Bullins
Federated learning (FL) approaches for saddle point problems (SPP) have recently gained in popularity due to the critical role they play in machine learning (ML). Existing works mo…
math.OC2023
Beyond first-order methods for non-convex non-concave min-max optimization
Abhijeet Vyas, Brian Bullins
We propose a study of structured non-convex non-concave min-max problems which goes beyond standard first-order approaches. Inspired by the tight understanding established in recen…
cs.LG2023
Variance-Reduced Conservative Policy Iteration
Naman Agarwal, Brian Bullins, Karan Singh
We study the sample complexity of reducing reinforcement learning to a sequence of empirical risk minimization problems over the policy space. Such reductions-based algorithms exhi…