56 citations · 162 across the 43 of their papers we have counts for
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Near-Optimal Decentralized Stochastic Convex Optimization over Networks
Nitai Kluger, Amit Attia, Tomer Koren
We study decentralized stochastic smooth convex optimization, where workers minimize an average objective using local stochastic gradients and neighbor-only communication over…
Faster Stochastic Optimization with Arbitrary Delays via Asynchronous Mini-Batching
Amit Attia, Ofir Gaash, Tomer Koren
We consider the problem of asynchronous stochastic optimization, where an optimization algorithm makes updates based on stale stochastic gradients of the objective that are subject…
Dueling Convex Optimization with General Preferences
Aadirupa Saha, Tomer Koren, Yishay Mansour
We address the problem of \emph{convex optimization with dueling feedback}, where the goal is to minimize a convex function given a weaker form of \emph{dueling} feedback. Each que…
Never Go Full Batch (in Stochastic Convex Optimization)
Idan Amir, Yair Carmon, Tomer Koren +1
We study the generalization performance of optimization algorithms for stochastic convex optimization: these are first-order methods that only access the exact…