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Workshop
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Semi-Random Sparse Recovery in Nearly-Linear Time
Jonathan Kelner · Jerry Li · Allen Liu · Aaron Sidford · Kevin Tian
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Poster
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Tue 9:00
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Sample Constrained Treatment Effect Estimation
Raghavendra Addanki · David Arbour · Tung Mai · Cameron Musco · Anup Rao
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Workshop
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Contrasting random and learned features in deep Bayesian linear regression
Jacob Zavatone-Veth · William Tong · Cengiz Pehlevan
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Poster
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Wed 9:00
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Cost-efficient Gaussian tensor network embeddings for tensor-structured inputs
Linjian Ma · Edgar Solomonik
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Poster
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Wed 14:00
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Optimal Query Complexities for Dynamic Trace Estimation
David Woodruff · Fred Zhang · Richard Zhang
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Poster
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Wed 14:00
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Posterior and Computational Uncertainty in Gaussian Processes
Jonathan Wenger · Geoff Pleiss · Marvin Pförtner · Philipp Hennig · John Cunningham
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Workshop
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Inversely Eliciting Numerical Reasoning in Language Models via Solving Linear Systems
Fan Zhou · Haoyu Dong · Qian Liu · Zhoujun Cheng · Shi Han · Dongmei Zhang
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Panel
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Wed 9:15
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Panel 3C-2: Rethinking Knowledge Graph… & Faster Linear Algebra…
Sandeep Silwal · Haotong Yang
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Poster
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Thu 14:00
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Faster Linear Algebra for Distance Matrices
Piotr Indyk · Sandeep Silwal
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Poster
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Thu 9:00
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Lower Bounds on Randomly Preconditioned Lasso via Robust Sparse Designs
Jonathan Kelner · Frederic Koehler · Raghu Meka · Dhruv Rohatgi
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Poster
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On the role of overparameterization in off-policy Temporal Difference learning with linear function approximation
Valentin Thomas
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