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Poster
Tue 14:00 Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series
Abdul Fatir Ansari · Alvin Heng · Andre Lim · Harold Soh
Poster
Wed 17:00 Sampling-Based Accuracy Testing of Posterior Estimators for General Inference
Pablo Lemos · Adam Coogan · Yashar Hezaveh · Laurence Perreault-Levasseur
Poster
Tue 14:00 Few-Sample Feature Selection via Feature Manifold Learning
David Cohen · Tal Shnitzer · Yuval Kluger · Ronen Talmon
Poster
Thu 16:30 Learning in POMDPs is Sample-Efficient with Hindsight Observability
Jonathan Lee · Alekh Agarwal · Christoph Dann · Tong Zhang
Poster
Thu 16:30 Sampling-based Nyström Approximation and Kernel Quadrature
Satoshi Hayakawa · Harald Oberhauser · Terry Lyons
Poster
Wed 17:00 Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning
Nader Asadi · MohammadReza Davari · Sudhir Mudur · Rahaf Aljundi · Eugene Belilovsky
Poster
Tue 17:00 Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks
Mohammed Nowaz Rabbani Chowdhury · Shuai Zhang · Meng Wang · Sijia Liu · Pin-Yu Chen
Poster
Thu 13:30 Finite-Sample Analysis of Learning High-Dimensional Single ReLU Neuron
Jingfeng Wu · Difan Zou · Zixiang Chen · Vladimir Braverman · Quanquan Gu · Sham Kakade
Oral
Thu 18:00 Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series
Abdul Fatir Ansari · Alvin Heng · Andre Lim · Harold Soh
Oral
Thu 18:24 Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks
Mohammed Nowaz Rabbani Chowdhury · Shuai Zhang · Meng Wang · Sijia Liu · Pin-Yu Chen
Poster
Tue 14:00 Infusing Lattice Symmetry Priors in Attention Mechanisms for Sample-Efficient Abstract Geometric Reasoning
Mattia Atzeni · Mrinmaya Sachan · Andreas Loukas
Workshop
Mask, Stitch, and Re-Sample: Enhancing Robustness and Generalizability in Anomaly Detection through Automatic Diffusion Models
Cosmin Bercea · Michael Neumayr · Daniel Rueckert · Julia Schnabel