Workshop

Semi-Random Sparse Recovery in Nearly-Linear Time
Jonathan Kelner · Jerry Li · Allen Liu · Aaron Sidford · Kevin Tian

Poster

Tue 9:00

Sample Constrained Treatment Effect Estimation
Raghavendra Addanki · David Arbour · Tung Mai · Cameron Musco · Anup Rao

Workshop

Contrasting random and learned features in deep Bayesian linear regression
Jacob Zavatone-Veth · William Tong · Cengiz Pehlevan

Poster

Wed 9:00

Cost-efficient Gaussian tensor network embeddings for tensor-structured inputs
Linjian Ma · Edgar Solomonik

Poster

Wed 14:00

Optimal Query Complexities for Dynamic Trace Estimation
David Woodruff · Fred Zhang · Richard Zhang

Poster

Wed 14:00

Posterior and Computational Uncertainty in Gaussian Processes
Jonathan Wenger · Geoff Pleiss · Marvin Pförtner · Philipp Hennig · John Cunningham

Workshop

Inversely Eliciting Numerical Reasoning in Language Models via Solving Linear Systems
Fan Zhou · Haoyu Dong · Qian Liu · Zhoujun Cheng · Shi Han · Dongmei Zhang

Panel

Wed 9:15

Panel 3C-2: Rethinking Knowledge Graph… & Faster Linear Algebra…
Sandeep Silwal · Haotong Yang

Poster

Thu 14:00

Faster Linear Algebra for Distance Matrices
Piotr Indyk · Sandeep Silwal

Poster

Thu 9:00

Lower Bounds on Randomly Preconditioned Lasso via Robust Sparse Designs
Jonathan Kelner · Frederic Koehler · Raghu Meka · Dhruv Rohatgi

Poster