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Electronic Colloquium on Computational Complexity

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REPORTS > AUTHORS > ANTHONY OSTUNI:
All reports by Author Anthony Ostuni:

TR26-075 | 13th May 2026
Farzan Byramji, Daniel Kane, Jackson Morris, Anthony Ostuni

On the Advantage of Adaptivity for Sampling with Cell Probes

We construct an explicit distribution $\mathbf{D}$ over $\{0,1\}^N$ that exhibits an essentially optimal separation between adaptive and non-adaptive cell-probe sampling. The distribution can be sampled exactly when each output bit is allowed two adaptive probes to an arbitrarily long sequence of independent uniform symbols from $[N]$. In contrast, any non-adaptive ... more >>>


TR25-183 | 18th November 2025
Daniel Kane, Anthony Ostuni, Kewen Wu

Symmetric Distributions from Shallow Circuits

We characterize the symmetric distributions that can be (approximately) generated by shallow Boolean circuits. More precisely, let $f\colon \{0,1\}^m \to \{0,1\}^n$ be a Boolean function where each output bit depends on at most $d$ input bits. Suppose the output distribution of $f$ evaluated on uniformly random input bits is close ... more >>>


TR25-047 | 10th April 2025
Michael Jaber, Yang P. Liu, Shachar Lovett, Anthony Ostuni, Mehtaab Sawhney

Quasipolynomial bounds for the corners theorem

Let $G$ be a finite abelian group and $A$ be a subset of $G \times G$ which is corner--free, meaning that there are no $x, y \in G$ and $d \in G \setminus \{0\}$ such that $(x, y)$, $(x+d, y)$, $(x, y+d) \in A$. We prove that
$|A| \le |G|^2 ... more >>>


TR24-180 | 13th November 2024
Daniel Kane, Anthony Ostuni, Kewen Wu

Locally Sampleable Uniform Symmetric Distributions

Revisions: 1

We characterize the power of constant-depth Boolean circuits in generating uniform symmetric distributions. Let $f\colon\{0,1\}^m\to\{0,1\}^n$ be a Boolean function where each output bit of $f$ depends only on $O(1)$ input bits. Assume the output distribution of $f$ on uniform input bits is close to a uniform distribution $\mathcal D$ with ... more >>>


TR24-170 | 5th November 2024
Michael Jaber, Shachar Lovett, Anthony Ostuni

Corners in Quasirandom Groups via Sparse Mixing

Revisions: 2

We improve the best known upper bounds on the density of corner-free sets over quasirandom groups from inverse poly-logarithmic to quasi-polynomial. We make similarly substantial improvements to the best known lower bounds on the communication complexity of a large class of permutation functions in the 3-player Number-on-Forehead model. Underpinning both ... more >>>


TR24-031 | 22nd February 2024
Daniel Kane, Anthony Ostuni, Kewen Wu

Locality Bounds for Sampling Hamming Slices

Revisions: 1

Spurred by the influential work of Viola (Journal of Computing 2012), the past decade has witnessed an active line of research into the complexity of (approximately) sampling distributions, in contrast to the traditional focus on the complexity of computing functions.

We build upon and make explicit earlier implicit results of ... more >>>


TR23-203 | 15th December 2023
Hamed Hatami, Kaave Hosseini, Shachar Lovett, Anthony Ostuni

Refuting approaches to the log-rank conjecture for XOR functions

The log-rank conjecture, a longstanding problem in communication complexity, has persistently eluded resolution for decades. Consequently, some recent efforts have focused on potential approaches for establishing the conjecture in the special case of XOR functions, where the communication matrix is lifted from a boolean function, and the rank of ... more >>>




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