firstbacksecondback
143 Results
|
Poster
|
Thu 14:00 |
SQ Lower Bounds for Learning Single Neurons with Massart Noise Ilias Diakonikolas · Daniel Kane · Lisheng Ren · Yuxin Sun |
|
|
Workshop
|
Active metric learning and classification using similarity queries Namrata Nadagouda · Austin Xu · Mark Davenport |
||
|
Workshop
|
Contrasting random and learned features in deep Bayesian linear regression Jacob Zavatone-Veth · William Tong · Cengiz Pehlevan |
||
|
Workshop
|
Active Learning with Table Language Models Martin Ringsquandl · Aneta Koleva |
||
|
Poster
|
Thu 9:00 |
On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification Sanyam Kapoor · Wesley Maddox · Pavel Izmailov · Andrew Wilson |
|
|
Poster
|
Tue 14:00 |
Planning to the Information Horizon of BAMDPs via Epistemic State Abstraction Dilip Arumugam · Satinder Singh |
|
|
Poster
|
Tue 9:00 |
Deciding What to Model: Value-Equivalent Sampling for Reinforcement Learning Dilip Arumugam · Benjamin Van Roy |
|
|
Poster
|
Thu 14:00 |
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces Leonard Papenmeier · Luigi Nardi · Matthias Poloczek |
|
|
Poster
|
Thu 14:00 |
Bayesian Risk Markov Decision Processes Yifan Lin · Yuxuan Ren · Enlu Zhou |
|
|
Workshop
|
Batch Active Learning from the Perspective of Sparse Approximation Maohao Shen · Yibo Jacky Zhang · Bowen Jiang · Sanmi Koyejo |
||
|
Poster
|
Tue 9:00 |
Laplacian Autoencoders for Learning Stochastic Representations Marco Miani · Frederik Warburg · Pablo Moreno-Muñoz · Nicki Skafte · Søren Hauberg |
|
|
Workshop
|
Bayesian Dynamic Causal Discovery Alexander Tong · Lazar Atanackovic · Jason Hartford · Yoshua Bengio |