581 citations · 1.8k across the 41 of their papers we have counts for
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cs.LG2018★ 36 cited
Re-evaluating Evaluation
David Balduzzi, Karl Tuyls, Julien Perolat +1
Progress in machine learning is measured by careful evaluation on problems of outstanding common interest. However, the proliferation of benchmark suites and environments, adversar…
cs.LG2018★ 138 cited
The Mechanics of n-Player Differentiable Games
David Balduzzi, Sebastien Racaniere, James Martens +3
The cornerstone underpinning deep learning is the guarantee that gradient descent on an objective converges to local minima. Unfortunately, this guarantee fails in settings, such a…