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Oral
Tue 5:00 Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks
Jiaojiao Fan · Amirhossein Taghvaei · Yongxin Chen
Oral
Tue 5:00 BORE: Bayesian Optimization by Density-Ratio Estimation
Louis Chi-Chun Tiao · Aaron Klein · Matthias W Seeger · Edwin V Bonilla · Cedric Archambeau · Fabio Ramos
Spotlight
Tue 5:20 Offline Contextual Bandits with Overparameterized Models
David Brandfonbrener · William Whitney · Rajesh Ranganath · Joan Bruna
Spotlight
Tue 5:30 A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization
Ran Xin · Usman Khan · Soummya Kar
Spotlight
Tue 5:35 Zeroth-Order Non-Convex Learning via Hierarchical Dual Averaging
Amélie Héliou · Matthieu Martin · Panayotis Mertikopoulos · Thibaud J Rahier
Spotlight
Tue 5:40 Sparsifying Networks via Subdifferential Inclusion
Sagar Verma · Jean-Christophe Pesquet
Oral
Tue 6:00 Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums
Chaobing Song · Stephen Wright · Jelena Diakonikolas
Spotlight
Tue 6:20 Dueling Convex Optimization
Aadirupa Saha · Tomer Koren · Yishay Mansour
Spotlight
Tue 6:25 Global Optimality Beyond Two Layers: Training Deep ReLU Networks via Convex Programs
Tolga Ergen · Mert Pilanci
Spotlight
Tue 6:30 Parameter-free Locally Accelerated Conditional Gradients
Alejandro Carderera · Jelena Diakonikolas · Cheuk Yin Lin · Sebastian Pokutta
Spotlight
Tue 6:35 Provably Efficient Learning of Transferable Rewards
Alberto Maria Metelli · Giorgia Ramponi · Alessandro Concetti · Marcello Restelli
Spotlight
Tue 6:35 Principal Component Hierarchy for Sparse Quadratic Programs
Robbie Vreugdenhil · Viet Anh Nguyen · Armin Eftekhari · Peyman Mohajerin Esfahani