~/conference

Structure vs. Randomness 2017

date:2017-04-10..2017-04-14
location:Berkeley, United States
series:Structure vs. Randomness · one edition
titleauthorlength
Algorithmic Dense Model Theorems and Weak RegularityRussell Impagliazzo34m
Claims a tight equivalence between hardcore lemmas, dense model theorems, and weak regularity, and gives algorithmic dense model theorem and weak regularity…
Talk
Sum of Squares Lower Bounds for Refuting Any CSPRyan O'Donnell31m
Proves tight lower bounds showing the Sum‑of‑Squares (SOS) hierarchy cannot refute random CSPs below the specific density thresholds it earlier achieves…
Talk
Large Deviations for Arithmetic ProgressionsYufei Zhao59m
Proves the sharp upper-tail asymptotics for k-term AP counts when p does not decay too fast, solving the variational problem that gives an explicit constant…
Talk
Trading Information Complexity for ErrorHamed Hatami29m
Paper proves that allowing error ε reduces information cost for AND by Θ(H(ε)) and for Disjointness the per-instance cost drops by about H(ε) (matching earlier…
Talk
Sparse Dense Dichotomy and Liquid GraphsJarik Nesetril26m
Defines bounded expansion via shallow topological minors and degeneration and claims that planting any bounded‑degree graph then sprinkling random edges at…
Talk
The Entropy Decrement Method and the Erdos Discrepancy ProblemTerry Tao58m
Claims that the Erdős discrepancy conjecture follows by converting the global problem to a model for the Liouville sequence, proving nontrivial logarithmic…
Talk
Vinogradov's Three Primes Theorem with Primes from Special SetsKaisa Matomäki01h 02m
Shows that the only genuine obstruction to Vinogradov’s three‑prime conclusion for a subset of primes is concentration on small Bohr sets (a Boset…
Talk
Additive Structure of Sets of Fourier CoefficientsThomas Bloom01h 03m
Classifies what a large Fourier spectrum can actually look like and gives a way to extract a low‑dimensional large subset usable for density increments. Three…
Talk
On Structural Properties of Low Threshold Rank GraphsShayan Oveis Gharan35m
Defines epsilon-threshold rank as the count of normalized-adjacency eigenvalues with |λ| ≥ ε and studies graphs where that rank is small. Proves any graph…
Talk
Hidden Irregularity Versus Hidden Structure: The Emergence of the Johnson GraphsLaszlo Babai01h 07m
Claim: a graph or relational structure with symmetry defect ≥10% yields, at quasi‑polynomial multiplicative cost, one of three canonical outcomes: a vertex…
Talk
Hidden Irregularity Versus Hidden Structure: The Emergence of the Johnson GraphsLaszlo Babai44m
Laszlo Babai, University of Chicago Structure vs. Randomness https://simons.berkeley.edu/talks/laszlo-babai-2017-4-12-2
Talk
Random High-Dimensional Combinatorial ObjectsNati Linial01h 05m
Nati Linial, Hebrew University of Jerusalem https://simons.berkeley.edu/talks/nati-linial-2017-4-12 Structure vs. Randomness
Talk
Positional Games and RandomnessMichael Krivelevich01h 02m
Michael Krivelevich, Tel Aviv University https://simons.berkeley.edu/talks/michael-krivelevich-2017-4-13 Structure vs. Randomness
Talk
Labeling the Complete Bipartite Graph with No Zero CyclesShachar Lovett58m
Shachar Lovett, UC San Diego https://simons.berkeley.edu/talks/shachar-lovett-2017-4-13 Structure vs. Randomness
Talk
Unavoidable Patterns in WordsDavid Conlon57m
Defines FN(q) as the least length forcing Zeeman word ZN in any q-letter string and proves concrete growth rates and constructions. Main claims: for fixed N…
Talk
True Complexity of Multilinear SystemsFreddie Manners01h 01m
Proves two concrete things for six forms in three variables: first, there exist systems over Fp where the counting average stays large while all U2 norms stay…
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