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Raghu Meka

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Learning Ill-Conditioned Gaussian Graphical ModelsAlgorithmic Aspects of Causal Inference 20222022-03-18
Claims first fixed polynomial-time algorithms that learn attractive GGMs and walk-summable GGMs using logarithmic samples without condition-number assumptions…
Talk on
Prefix Discrepancy, Smoothed Analysis, and Combinatorial Vector BalancingITCS 20222022-01-31
Shows that in a smoothed model (noise whose covariance has nontrivial projection in every direction) the Banaszczyk bound improves to sqrt(log d)+sqrt(log log…
Talk
Lifting With SunflowersITCS 20222022-01-31
Proves that many lifting theorems (tree‑like, DAG‑like, depth‑dependent) follow from a single sunflower‑based lemma, replacing lengthy casework with a short…
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Approximating Rectangles by Juntas and Weakly-Exponential Lower Bounds for LP Relaxations of CSPsHierarchies, Extended Formulations and Matrix-Analytic Techniques (2017)2017-11-06
Proves a lifting theorem: for the inner-product gadget with B ≳ c log n the non-negative rank of a pattern matrix Mf is at least exp(Ω(B · degree-plus(f)))…
Talk
Anti-Concentration for Polynomials of Independent Random VariablesConnections Between Algorithm Design and Complexity Theory2015-09-28
Gives an explicit anti‑concentration bound: for a degree‑d real polynomial whose rank = number of disjoint degree‑d monomials equals r, the mass on any single…
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