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45 Results
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Poster
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Wed 14:00 |
Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations Andreas Besginow · Markus Lange-Hegermann |
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Poster
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Wed 9:00 |
Learning Bipartite Graphs: Heavy Tails and Multiple Components José Vinícius de Miranda Cardoso · Jiaxi Ying · Daniel Palomar |
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Poster
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Wed 14:00 |
A Fourier Approach to Mixture Learning Mingda Qiao · Guru Guruganesh · Ankit Rawat · Kumar Avinava Dubey · Manzil Zaheer |
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Poster
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High-dimensional limit theorems for SGD: Effective dynamics and critical scaling Gerard Ben Arous · Reza Gheissari · Aukosh Jagannath |
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Poster
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Wed 9:00 |
Logical Credal Networks Radu Marinescu · Haifeng Qian · Alexander Gray · Debarun Bhattacharjya · Francisco Barahona · Tian Gao · Ryan Riegel · Pravinda Sahu |
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Poster
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Thu 14:00 |
DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization Kevin Bello · Bryon Aragam · Pradeep Ravikumar |
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Workshop
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Score-based Denoising Diffusion with Non-Isotropic Gaussian Noise Models Vikram Voleti · Chris Pal · Adam Oberman |
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Poster
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Wed 9:00 |
Mean Estimation in High-Dimensional Binary Markov Gaussian Mixture Models Yihan Zhang · Nir Weinberger |
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Workshop
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Fri 15:48 |
Sample-Specific Contextualized Graphical Models Using Clinical and Molecular Data Reveal Transcriptional Network Heterogeneity Across 7000 Tumors Caleb Ellington · Ben Lengerich · Thomas Watkins · Jiekun Yang · Manolis Kellis · Eric Xing |