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deep learning machine learning nash equilibrium game theory shannon information reinforcement learning i love deepmind multi-agent learning pepsi glcic gated convolution partial convolution gan image inpainting mccfr multiplayer poker memory distortion semantic compression vae rate distortion theory variational inference representation learning meta-learning information bottleneck information fisher information matrix dropout critical learning periods multi-class classification imagenet bread house seminar uncertainty robustness pre-training japanese gaussian markov graphical lasso sparse structure change detection anomaly detection gaussian homotopy annealing homotopy mollifying networks curriculum learning continuation methods non-convex optimization mlphs irl