2 citations · 3 across the 16 of their papers we have counts for
22 papers
Strongly log-concave measures and lattices
Brayden Letwin, Victor Reis, Thomas Rothvoss
Let be a full rank lattice with the property that for all sublattices . We prove that there exists a symmetric random vector $…
Three Standard Deviations Suffice While One Does Not
Victor Reis, Zhao Song
Spencer's 1985 ``six standard deviations suffice'' theorem shows that every has a sign vector with . We…
Optimal Sparsifiers for Minkowski Sums and Sums of Seminorms
Arpon Basu, Joshua Brakensiek, Yeyuan Chen +3
We extend the recent work of Reis and Rothvoss on sparsifying sums of norms to the more general task of sparsifying (Minkowski) sums of centrally symmetric, convex sets. A…
Weighted Equitability and Matroid-Constrained Discrepancy
Kristóf Bérczi, Siyue Liu, Victor Reis +1
We prove weighted matroid equitability. Let be a matroid whose ground set can be partitioned into bases, and assign a nonnegative weight to every element. T…
Linear-size sparsifiers
Victor Reis, Thomas Rothvoss
We prove that for any matrix and any there is a diagonal matrix with at most $O(\frac{n}{…
Differentially Private Synthetic Data via APIs 4: Tabular Data
Toan Tran, Arturs Backurs, Zinan Lin +3
This paper investigates the problem of generating synthetic tabular data with differential privacy (DP) guarantees, enabling data sharing in sensitive domains. Despite extensive st…
Optimal Vector Balancing for Zonotopes
Victor Reis
A zonotope is a linear image of the cube for some . We show that there is a universal constant such that, for every zonotope $Z\subset \mathbb{R}^d…
Weighted Chairman Assignment and Flow-Time Scheduling
Siyue Liu, Victor Reis
Given positive integers , a fractional assignment and weights , we show that there exists an assignment $y \in \{0,1\}^{m…
Struct-Bench: A Benchmark for Differentially Private Structured Text Generation
Shuaiqi Wang, Vikas Raunak, Arturs Backurs +7
Differentially private (DP) synthetic data generation is a promising technique for utilizing private datasets that otherwise cannot be exposed for model training or other analytics…
A Randomized Rounding Approach for DAG Edge Deletion
Sina Kalantarzadeh, Nathan Klein, Victor Reis
In the DAG Edge Deletion problem, we are given an edge-weighted directed acyclic graph and a parameter , and the goal is to delete the minimum weight set of edges so that the re…
Optimal Online Discrepancy Minimization
Janardhan Kulkarni, Victor Reis, Thomas Rothvoss
We prove that there exists an online algorithm that for any sequence of vectors with , arriving one at a time, decides random si…
Linear-Sized Sparsifiers via Near-Linear Time Discrepancy Theory
Arun Jambulapati, Victor Reis, Kevin Tian
Discrepancy theory provides powerful tools for producing higher-quality objects which "beat the union bound" in fundamental settings throughout combinatorics and computer science.…
The Subspace Flatness Conjecture and Faster Integer Programming
Victor Reis, Thomas Rothvoss
In a seminal paper, Kannan and Lovász (1988) considered a quantity which denotes the best volume-based lower bound on the covering radius of a convex body $K…
The Vector Balancing Constant for Zonotopes
Laurel Heck, Victor Reis, Thomas Rothvoss
The vector balancing constant of two symmetric convex bodies is the minimum so that any number of vectors from can be balanced into an -s…
Approximate Carathéodory bounds via Discrepancy Theory
Victor Reis, Thomas Rothvoss
The approximate Carathéodory problem in general form is as follows: Given two symmetric convex bodies , a parameter and $\mathbf{z} \…
A New Framework for Matrix Discrepancy: Partial Coloring Bounds via Mirror Descent
Daniel Dadush, Haotian Jiang, Victor Reis
Motivated by the Matrix Spencer conjecture, we study the problem of finding signed sums of matrices with a small matrix norm. A well-known strategy to obtain these signs is to prov…
A Tighter Relation Between Hereditary Discrepancy and Determinant Lower Bound
Haotian Jiang, Victor Reis
In seminal work, Lovász, Spencer, and Vesztergombi [European J. Combin., 1986] proved a lower bound for the hereditary discrepancy of a matrix in te…
Tight bounds on the Fourier growth of bounded functions on the hypercube
Siddharth Iyer, Anup Rao, Victor Reis +2
We give tight bounds on the degree homogenous parts of a bounded function on the cube. We show that if has degree , then…
Balancing Polynomials in the Chebyshev Norm
Victor Reis
Given polynomials of degree at most with for , we show there exist signs so that \[\Big\|…
An Elementary Exposition of Pisier's Inequality
Siddharth Iyer, Anup Rao, Victor Reis +2
Pisier's inequality is central in the study of normed spaces and has important applications in geometry. We provide an elementary proof of this inequality, which avoids some non-co…
Vector Balancing in Lebesgue Spaces
Victor Reis, Thomas Rothvoss
A tantalizing conjecture in discrete mathematics is the one of Komlós, suggesting that for any vectors there exist signs $x_1, \dots, x…
Linear Size Sparsifier and the Geometry of the Operator Norm Ball
Victor Reis, Thomas Rothvoss
The Matrix Spencer Conjecture asks whether given symmetric matrices in with eigenvalues in one can always find signs so that their signed sum…