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Poster
Thu 8:45 Error Bounds for Learning with Vector-Valued Random Features
Samuel Lanthaler · Nicholas H. Nelsen
Poster
Wed 8:45 Robust covariance estimation with missing values and cell-wise contamination
Grégoire Pacreau · Karim Lounici
Poster
Wed 15:00 Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions
Tongxin Li · Yiheng Lin · Shaolei Ren · Adam Wierman
Poster
Thu 8:45 Complex-valued Neurons Can Learn More but Slower than Real-valued Neurons via Gradient Descent
Jin-Hui Wu · Shao-Qun Zhang · Yuan Jiang · Zhi-Hua Zhou
Workshop
Combining deep generative models with extreme value theory for synthetic hazard simulation: a multivariate and spatially coherent approach
Alison Peard · Jim Hall
Poster
Wed 15:00 Accelerating Value Iteration with Anchoring
Jongmin Lee · Ernest Ryu
Workshop
Fri 7:50 #16: Machine Theory of Mind and the Structure of Human Values
Paul de Font-Reaulx
Poster
Thu 15:00 Optimal approximation using complex-valued neural networks
Paul Geuchen · Felix Voigtlaender
Workshop
Representation Learning for Extremes
Ali Hasan · Yuting Ng · Jose Blanchet · Vahid Tarokh
Workshop
Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search
Abbas Mehrabian · Ankit Anand · Hyunjik Kim · Nicolas Sonnerat · Tudor Berariu · Matej Balog · Gheorghe Comanici · Andrew Lee · Anian Ruoss · Anna Bulanova · Daniel Toyama · Sam Blackwell · Bernardino Romera-Paredes · Laurent Orseau · Petar Veličković · Anurag Murty Naredla · Joonkyung Lee · Adam Wagner · Doina Precup