1 citations · 1 across the 5 of their papers we have counts for
6 papers
High Rate Efficient Local List Decoding from HDX
Yotam Dikstein, Max Hopkins, Russell Impagliazzo +1
We construct the first (locally computable, approximately) locally list decodable codes with rate, efficiency, and error tolerance approaching the information theoretic limit, a co…
Lower Bounds for Bit Pigeonhole Principles in Bounded-Depth Resolution over Parities
Farzan Byramji, Russell Impagliazzo
We prove lower bounds for proofs of the bit pigeonhole principle (BPHP) and its generalizations in bounded-depth resolution over parities (Res). For weak BPHP with…
Approximate Replicability in Learning
Max Hopkins, Russell Impagliazzo, Christopher Ye
Replicability, introduced by (Impagliazzo et al. STOC '22), is the notion that algorithms should remain stable under a resampling of their inputs (given access to shared randomness…
The Greedy Coin Change Problem
Shreya Gupta, Boyang Huang, Russell Impagliazzo
The Coin Change problem, also known as the Change-Making problem, is a well-studied combinatorial optimization problem, which involves minimizing the number of coins needed to make…
The Computational Complexity of Factored Graphs
Shreya Gupta, Boyang Huang, Russell Impagliazzo +2
While graphs and abstract data structures can be large and complex, practical instances are often regular or highly structured. If the instance has sufficient structure, we might h…
Replicability in High Dimensional Statistics
Max Hopkins, Russell Impagliazzo, Daniel Kane +2
The replicability crisis is a major issue across nearly all areas of empirical science, calling for the formal study of replicability in statistics. Motivated in this context, [Imp…