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Poster
Tue 14:00 Multi-layer State Evolution Under Random Convolutional Design
Max Daniels · Cedric Gerbelot · Florent Krzakala · Lenka Zdeborová
Poster
Tue 14:00 Reinforcement Learning with Logarithmic Regret and Policy Switches
Grigoris Velegkas · Zhuoran Yang · Amin Karbasi
Poster
Tue 14:00 Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination
Masaki Adachi · Satoshi Hayakawa · Martin Jørgensen · Harald Oberhauser · Michael A Osborne
Poster
Tue 9:00 Universality of Group Convolutional Neural Networks Based on Ridgelet Analysis on Groups
Sho Sonoda · Isao Ishikawa · Masahiro Ikeda
Poster
Thu 9:00 Near-Optimal Private and Scalable k-Clustering
Vincent Cohen-Addad · Alessandro Epasto · Vahab Mirrokni · Shyam Narayanan · Peilin Zhong
Poster
Wed 9:00 On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL
Jinglin Chen · Aditya Modi · Akshay Krishnamurthy · Nan Jiang · Alekh Agarwal
Poster
Tue 14:00 Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces
Vladimir Kostic · Pietro Novelli · Andreas Maurer · Carlo Ciliberto · Lorenzo Rosasco · Massimiliano Pontil
Poster
Thu 9:00 Statistically Meaningful Approximation: a Case Study on Approximating Turing Machines with Transformers
Colin Wei · Yining Chen · Tengyu Ma
Poster
Thu 9:00 Power and limitations of single-qubit native quantum neural networks
Zhan Yu · Hongshun Yao · Mujin Li · Xin Wang
Poster
Thu 14:00 Black-box coreset variational inference
Dionysis Manousakas · Hippolyt Ritter · Theofanis Karaletsos
Poster
Tue 14:00 Mesoscopic modeling of hidden spiking neurons
Shuqi Wang · Valentin Schmutz · Guillaume Bellec · Wulfram Gerstner
Poster
Thu 9:00 On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC)
Washim Mondal · Mridul Agarwal · Vaneet Aggarwal · Satish Ukkusuri