Summary of Batched Bayesian Optimization with Correlated Candidate Uncertainties, by Jenna Fromer et al.
Batched Bayesian optimization with correlated candidate uncertaintiesby Jenna Fromer, Runzhong Wang, Mrunali Manjrekar, Austin Tripp,…
Summary of Solving Robust Mdps As a Sequence Of Static Rl Problems, by Adil Zouitine et al.
Solving robust MDPs as a sequence of static RL problemsby Adil Zouitine, Matthieu Geist, Emmanuel…
Summary of Relitlrm: Generative Relightable Radiance For Large Reconstruction Models, by Tianyuan Zhang et al.
RelitLRM: Generative Relightable Radiance for Large Reconstruction Modelsby Tianyuan Zhang, Zhengfei Kuang, Haian Jin, Zexiang…
Summary of Parameter Choice and Neuro-symbolic Approaches For Deep Domain-invariant Learning, by Marius-constantin Dinu
Parameter Choice and Neuro-Symbolic Approaches for Deep Domain-Invariant Learningby Marius-Constantin DinuFirst submitted to arxiv on:…
Summary of Generalized Sparse Additive Model with Unknown Link Function, by Peipei Yuan et al.
Generalized Sparse Additive Model with Unknown Link Functionby Peipei Yuan, Xinge You, Hong Chen, Xuelin…
Summary of Utilizing Lyapunov Exponents in Designing Deep Neural Networks, by Tirthankar Mittra
Utilizing Lyapunov Exponents in designing deep neural networksby Tirthankar MittraFirst submitted to arxiv on: 8…
Summary of Hierarchical Matrix Completion For the Prediction Of Properties Of Binary Mixtures, by Dominik Gond et al.
Hierarchical Matrix Completion for the Prediction of Properties of Binary Mixturesby Dominik Gond, Jan-Tobias Sohns,…
Summary of Extended Convexity and Smoothness and Their Applications in Deep Learning, by Binchuan Qi et al.
Extended convexity and smoothness and their applications in deep learningby Binchuan Qi, Wei Gong, Li…
Summary of Improved Sample Complexity For Private Nonsmooth Nonconvex Optimization, by Guy Kornowski et al.
Improved Sample Complexity for Private Nonsmooth Nonconvex Optimizationby Guy Kornowski, Daogao Liu, Kunal TalwarFirst submitted…
Summary of Single Point-based Distributed Zeroth-order Optimization with a Non-convex Stochastic Objective Function, by Elissa Mhanna and Mohamad Assaad
Single Point-Based Distributed Zeroth-Order Optimization with a Non-Convex Stochastic Objective Functionby Elissa Mhanna, Mohamad AssaadFirst…