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Session: All Sat 03:30 PM (Cockle Bay) Tutorials Session A Sat 03:30 PM (Parkside 1) Tutorials Session B Sat 03:30 PM (Parkside 2) Tutorials Session C Sun 04:00 PM (Darling Harbour Theatre) Invited Talk - Bernhard Schölkopf Sun 05:30 PM (C4.1) Online learning 1 Sun 05:30 PM (C4.4) Latent feature models Sun 05:30 PM (C4.5) Reinforcement learning 1 Sun 05:30 PM (C4.6 & C4.7) Supervised learning 1 Sun 05:30 PM (C4.8) Deep learning theory 1 Sun 05:30 PM (C4.9& C4.10) Probabilistic learning 1 Sun 05:30 PM (Darling Harbour Theatre) Deep learning 1: backprop Sun 05:30 PM (Parkside 1) Deep generative models 1 Sun 05:30 PM (Parkside 2) Continuous optimization 1 Sun 08:30 PM (C4.1) Online learning 2 Sun 08:30 PM (C4.4) Matrix factorization 1 Sun 08:30 PM (C4.5) Reinforcement learning 2 Sun 08:30 PM (C4.6 & C4.7) Supervised learning 2 Sun 08:30 PM (C4.8) Deep learning theory 2 Sun 08:30 PM (C4.9& C4.10) Probabilistic learning 2 Sun 08:30 PM (Darling Harbour Theatre) Deep learning 2: invariances Sun 08:30 PM (Parkside 1) Deep generative models 2 Sun 08:30 PM (Parkside 2) Continuous optimization 2 Sun 10:30 PM (C4.1) Online learning 3 Sun 10:30 PM (C4.4) Matrix factorization 2 Sun 10:30 PM (C4.5) Reinforcement learning 3 Sun 10:30 PM (C4.6 & C4.7) Semisupervised and curriculum learning Sun 10:30 PM (C4.8) Deep learning theory 3 Sun 10:30 PM (C4.9& C4.10) Probabilistic learning 3 Sun 10:30 PM (Darling Harbour Theatre) Deep learning 3: metalearning Sun 10:30 PM (Parkside 1) Deep generative models 3 Sun 10:30 PM (Parkside 2) Continuous optimization 3 Mon 12:15 AM (C4.1) Online learning 4 Mon 12:15 AM (C4.4) Matrix factorization 3 Mon 12:15 AM (C4.5) Reinforcement learning 4 Mon 12:15 AM (C4.6 & C4.7) Transfer and multitask learning Mon 12:15 AM (C4.8) Active learning Mon 12:15 AM (C4.9& C4.10) Bayesian Nonparametrics Mon 12:15 AM (Darling Harbour Theatre) Deep learning 4: learning to learn Mon 12:15 AM (Parkside 1) Recurrent neural networks 1 Mon 12:15 AM (Parkside 2) Continuous optimization 4 Mon 01:30 AM (Gallery) Posters Mon Mon 04:00 PM (Darling Harbour Theatre) Test of Time Award Mon 05:30 PM (C4.1) Networks and relational learning Mon 05:30 PM (C4.4) Spectral methods Mon 05:30 PM (C4.5) Reinforcement learning 5 Mon 05:30 PM (C4.6 & C4.7) Clustering 1 Mon 05:30 PM (C4.8) Learning theory 1 Mon 05:30 PM (C4.9& C4.10) Probabilistic inference 1 Mon 05:30 PM (Darling Harbour Theatre) Deep learning 5: Fisher approximations Mon 05:30 PM (Parkside 1) Recurrent neural networks 2 Mon 05:30 PM (Parkside 2) Continuous optimization 5 Mon 08:30 PM (C4.1) Ranking and preferences Mon 08:30 PM (C4.4) Sparsity 1 Mon 08:30 PM (C4.5) Ensemble methods Mon 08:30 PM (C4.6 & C4.7) Clustering 2 Mon 08:30 PM (C4.8) Learning theory 2 Mon 08:30 PM (C4.9& C4.10) Probabilistic inference 2 Mon 08:30 PM (Darling Harbour Theatre) Deep learning 6 Mon 08:30 PM (Parkside 1) Recurrent neural networks 3 Mon 08:30 PM (Parkside 2) Continuous optimization 6 Mon 10:30 PM (C4.1) ML and programming Mon 10:30 PM (C4.4) Sparsity 2 Mon 10:30 PM (C4.5) Game theory and multiagents Mon 10:30 PM (C4.6 & C4.7) Metric learning Mon 10:30 PM (C4.8) Infomation theory Mon 10:30 PM (C4.9& C4.10) Probabilistic inference 3 Mon 10:30 PM (Darling Harbour Theatre) Deep learning 7: analysis Mon 10:30 PM (Parkside 1) Recurrent neural networks 4 Mon 10:30 PM (Parkside 2) Continuous optimization 7 Tue 12:15 AM (Darling Harbour Theatre) Invited Talk - Peter Donnelly Tue 01:30 AM (Gallery) Posters Tue Tue 04:00 PM (Darling Harbour Theatre) Invited Talk - Raia Hadsell Tue 05:30 PM (C4.1) Bayesian Optimization Tue 05:30 PM (C4.4) High dimensional estimation Tue 05:30 PM (C4.5) Continuous control Tue 05:30 PM (C4.6 & C4.7) Healthcare Tue 05:30 PM (C4.8) Privacy and security 1 Tue 05:30 PM (C4.9& C4.10) Monte Carlo methods 1 Tue 05:30 PM (Darling Harbour Theatre) Deep learning 8: hardware Tue 05:30 PM (Parkside 1) Language 1 Tue 05:30 PM (Parkside 2) Distributed optimization Tue 08:30 PM (C4.1) Causal Inference 1 Tue 08:30 PM (C4.4) Robust Estimation Tue 08:30 PM (C4.5) Deep reinforcement learning 1 Tue 08:30 PM (C4.6 & C4.7) Time series Tue 08:30 PM (C4.8) Privacy and security 2 Tue 08:30 PM (C4.9& C4.10) Monte Carlo methods 2 Tue 08:30 PM (Darling Harbour Theatre) Deep learning 9: probabilistic Tue 08:30 PM (Parkside 1) Language 2 Tue 08:30 PM (Parkside 2) Combinatorial optimization 1 Tue 10:30 PM (C4.1) Causal Inference 2 Tue 10:30 PM (C4.4) Large scale learning Tue 10:30 PM (C4.5) Deep reinforcement learning 2 Tue 10:30 PM (C4.6 & C4.7) Structured prediction Tue 10:30 PM (C4.8) Kernel methods Tue 10:30 PM (C4.9& C4.10) Gaussian processes Tue 10:30 PM (Darling Harbour Theatre) Applications Tue 10:30 PM (Parkside 1) Language 3 Tue 10:30 PM (Parkside 2) Combinatorial optimization 2 Wed 12:15 AM (Darling Harbour Theatre) Invited Talk - Latanya Sweeney Wed 01:30 AM (Gallery) Posters Wed

Event type: All Break Poster Talk Tutorial Invited Talk Workshop

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