Aravindan Vijayaraghavan
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| title | conference | date |
|---|---|---|
| Semi-Random Models and Robustness in Unsupervised Learning | Robust and High-Dimensional Statistics (Simons Institute workshop, 2018) | 2018-10-29 |
A semi-random model mixes a tiny fraction beta of truly random sparse supports with adversarially chosen supports and shows polynomial-time recovery of the… | ||
| Learning Probabilistic Models for Graph Partitioning in the Presence of Noise | Learning, Algorithm Design and Beyond Worst-Case Analysis | 2016-11-14 |
Semidefinite relaxations plus a simple greedy clustering on the SDP vectors give provable guarantees: a constant‑factor approximation for minimum balanced cut… | ||
| Smoothed Analysis of Tensor Decompositions | Tensors in Computer Science and Geometry 2014 | 2014-11-10 |
Proves polynomial-time, noise-robust tensor decomposition under a smoothed-analysis model: add small Gaussian perturbations to component vectors, flatten… | ||
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