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Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?



Nenad Tomasev , Ioana Bica , Brian McWilliams , Lars Buesing , Razvan Pascanu , Charles Blundell , Jovana Mitrovic


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CoBERL: Contrastive BERT for Reinforcement Learning



Andrea Banino , Adrià Puidomenech Badia , Jacob Walker , Tim Scholtes , Jovana Mitrovic , Charles Blundell

* 9 pages, 2 figures, 6 tables 

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Representation Learning via Invariant Causal Mechanisms



Jovana Mitrovic , Brian McWilliams , Jacob Walker , Lars Buesing , Charles Blundell


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Amortized learning of neural causal representations



Nan Rosemary Ke , Jane. X. Wang , Jovana Mitrovic , Martin Szummer , Danilo J. Rezende

* ICLR 2020 causal learning for decision making workshop 

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Causally Correct Partial Models for Reinforcement Learning



Danilo J. Rezende , Ivo Danihelka , George Papamakarios , Nan Rosemary Ke , Ray Jiang , Theophane Weber , Karol Gregor , Hamza Merzic , Fabio Viola , Jane Wang , Jovana Mitrovic , Frederic Besse , Ioannis Antonoglou , Lars Buesing


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Causal Reasoning from Meta-reinforcement Learning



Ishita Dasgupta , Jane Wang , Silvia Chiappa , Jovana Mitrovic , Pedro Ortega , David Raposo , Edward Hughes , Peter Battaglia , Matthew Botvinick , Zeb Kurth-Nelson


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Causal Inference via Kernel Deviance Measures



Jovana Mitrovic , Dino Sejdinovic , Yee Whye Teh


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Hierarchical Adversarially Learned Inference



Mohamed Ishmael Belghazi , Sai Rajeswar , Olivier Mastropietro , Negar Rostamzadeh , Jovana Mitrovic , Aaron Courville

* 18 pages, 7 figures 

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DR-ABC: Approximate Bayesian Computation with Kernel-Based Distribution Regression



Jovana Mitrovic , Dino Sejdinovic , Yee Whye Teh


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