papers

Publications (20)

cs.DS2020

Optimal Testing of Discrete Distributions with High Probability

Ilias Diakonikolas, Themis Gouleakis, Daniel M. Kane +2

cs.DS2017

Sampling Random Spanning Trees Faster than Matrix Multiplication

David Durfee, Rasmus Kyng, John Peebles +2

cs.DS2019

Optimal Identity Testing with High Probability

Ilias Diakonikolas, Themis Gouleakis, John Peebles +1

cs.DS2023

Singular Value Approximation and Sparsifying Random Walks on Directed Graphs

AmirMahdi Ahmadinejad, John Peebles, Edward Pyne +2

cs.LG2025

Apple Intelligence Foundation Language Models: Tech Report 2025

Ethan Li, Anders Boesen Lindbo Larsen, Chen Zhang +395

cs.AI2026

Apple Intelligence Foundation Language Models

Tom Gunter, Zirui Wang, Chong Wang +152

cs.LG2018

On the Limitations of First-Order Approximation in GAN Dynamics

Jerry Li, Aleksander Madry, John Peebles +1

cs.DS2019

Towards Testing Monotonicity of Distributions Over General Posets

Maryam Aliakbarpour, Themis Gouleakis, John Peebles +2

cs.DS2016

Sublinear-Time Algorithms for Counting Star Subgraphs with Applications to Join Selectivity Estimation

Maryam Aliakbarpour, Amartya Shankha Biswas, Themistoklis Gouleakis +3

cs.DS2015

Replacing Mark Bits with Randomness in Fibonacci Heaps

Jerry Li, John Peebles

cs.DS2016

Almost-Linear-Time Algorithms for Markov Chains and New Spectral Primitives for Directed Graphs

Michael B. Cohen, Jonathan Kelner, John Peebles +4

cs.LG2025

Learning to Reason as Action Abstractions with Scalable Mid-Training RL

Shenao Zhang, Donghan Yu, Yihao Feng +4

cs.DS2018

Solving Directed Laplacian Systems in Nearly-Linear Time through Sparse LU Factorizations

Michael B. Cohen, Jonathan Kelner, Rasmus Kyng +4

cs.DS2017

Determinant-Preserving Sparsification of SDDM Matrices with Applications to Counting and Sampling Spanning Trees

David Durfee, John Peebles, Richard Peng +1

cs.LG2026

AXLearn: Modular, Hardware-Agnostic Large Model Training

Mark Lee, Chang Lan, Tom Gunter +34

cs.DS2016

Faster Algorithms for Computing the Stationary Distribution, Simulating Random Walks, and More

Michael B. Cohen, Jon Kelner, John Peebles +3

cs.CV2020

The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement

William Peebles, John Peebles, Jun-Yan Zhu +2

cs.DS2019

Testing Identity of Multidimensional Histograms

Ilias Diakonikolas, Daniel M. Kane, John Peebles

cs.DS2016

Collision-based Testers are Optimal for Uniformity and Closeness

Ilias Diakonikolas, Themis Gouleakis, John Peebles +1

cs.CC2022

High-precision Estimation of Random Walks in Small Space

AmirMahdi Ahmadinejad, Jonathan Kelner, Jack Murtagh +3