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101 Results
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Workshop
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Regression-Based Elastic Metric Learning on Shape Spaces of Cell Curves Adele Myers · Nina Miolane |
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Poster
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Thu 9:00 |
Locally Hierarchical Auto-Regressive Modeling for Image Generation Tackgeun You · Saehoon Kim · Chiheon Kim · Doyup Lee · Bohyung Han |
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Poster
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Thu 14:00 |
CoNSoLe: Convex Neural Symbolic Learning Haoran Li · Yang Weng · Hanghang Tong |
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Poster
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Wed 14:00 |
Precise Learning Curves and Higher-Order Scalings for Dot-product Kernel Regression Lechao Xiao · Hong Hu · Theodor Misiakiewicz · Yue Lu · Jeffrey Pennington |
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Panel
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Wed 9:15 |
Panel 3B-1: Censored Quantile Regression… & Deconfounded Representation Similarity… Tim Pearce · Tianyu Cui |
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Poster
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Sparse Additive Gaussian Process Regression Hengrui Luo · Giovanni Nattino · Matthew Pratola |
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Poster
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Wed 14:00 |
Precise Regret Bounds for Log-loss via a Truncated Bayesian Algorithm Changlong Wu · Mohsen Heidari · Ananth Grama · Wojciech Szpankowski |
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Poster
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Tue 9:00 |
A Unified Framework for Deep Symbolic Regression Mikel Landajuela · Chak Shing Lee · Jiachen Yang · Ruben Glatt · Claudio P Santiago · Ignacio Aravena · Terrell Mundhenk · Garrett Mulcahy · Brenden K Petersen |
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Poster
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Tue 9:00 |
Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference Jasper Tan · Blake Mason · Hamid Javadi · Richard Baraniuk |
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Poster
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Tue 14:00 |
Finite Sample Analysis Of Dynamic Regression Parameter Learning Mark Kozdoba · Edward Moroshko · Shie Mannor · Yacov Crammer |
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Poster
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Thu 14:00 |
Benign, Tempered, or Catastrophic: Toward a Refined Taxonomy of Overfitting Neil Mallinar · James Simon · Amirhesam Abedsoltan · Parthe Pandit · Misha Belkin · Preetum Nakkiran |
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Poster
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Tue 14:00 |
Semi-supervised Active Linear Regression Nived Rajaraman · Fnu Devvrit · Pranjal Awasthi |