Europe
Learning and Testing Causal Models with Interventions
Jayadev Acharya, Arnab Bhattacharyya, Constantinos Daskalakis, Saravanan Kandasamy
Neural Information Processing Systems http://nips.cc/
Revisiting $(\epsilon, \gamma, \tau)$-similarity learning for domain adaptation
Neural Information Processing Systems http://nips.cc/
Combinatorial Group Testing with Selfish Agents
We study the Combinatorial Group Testing (CGT) problems in a novel game-theoretic framework, with a solution concept of Adversarial Equilibrium (AE).
On the Global Convergence of (Fast) Incremental Expectation Maximization Methods
Belhal Karimi, Hoi-To Wai, Eric Moulines, Marc Lavielle
Neural Information Processing Systems http://nips.cc/
Automatic differentiation in ML: Where we are and where we should be going
Bart van Merrienboer, Olivier Breuleux, Arnaud Bergeron, Pascal Lamblin
Firstly, many machine learning models use optimization algorithms which require access to derivatives of the model.