John Peebles - RankMe

39 papers A* 12A 1Journal 24Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AXLearn: Modular Large Model Training on Heterogeneous Infrastructure. CoRR Mark Lee, Tom Gunter, Chang Lan, John Peebles, Hanzhi Zhou, Kelvin Zou, Sneha Bangalore, Chung-Cheng Chiu, Nan Du, Xianzhi Du, Philipp Dufter, Ruixuan Hou, Haoshuo Huang, Dongseong Hwang, Xiang Kong, Jinhao Lei, Tao Lei, Meng Li, Li Li, Jiarui Lu, Zhiyun Lu, Yiping Ma, David Qiu, Vivek Rathod, Senyu Tong, Zhucheng Tu, Jianyu Wang, Yongqiang Wang, Zirui Wang, Floris Weers, Sam Wiseman, Guoli Yin, Bowen Zhang, Xiyou Zhou, Danyang Zhuo, Cheng Leong, Ruoming Pang
2025	J	`jnl`	Learning to Reason as Action Abstractions with Scalable Mid-Training RL. CoRR Shenao Zhang, Donghan Yu, Yihao Feng, Bowen Jin, Zhaoran Wang, John Peebles, Zirui Wang
2023	J	`jnl`	Singular Value Approximation and Reducing Directed to Undirected Graph Sparsification. CoRR AmirMahdi Ahmadinejad, John Peebles, Edward Pyne, Aaron Sidford, Salil P. Vadhan
2023	A*	`conf`	Singular Value Approximation and Sparsifying Random Walks on Directed Graphs. FOCS AmirMahdi Ahmadinejad, John Peebles, Edward Pyne, Aaron Sidford, Salil P. Vadhan
2022	A	`conf`	Efficient Approximation Algorithms for the Inverse Semivalue Problem. AAMAS Ilias Diakonikolas, Chrystalla Pavlou, John Peebles, Alistair Stewart
2021	A*	`conf`	Optimal testing of discrete distributions with high probability. STOC Ilias Diakonikolas, Themis Gouleakis, Daniel M. Kane, John Peebles, Eric Price
2020	J	`jnl`	Determinant-Preserving Sparsification of SDDM Matrices. SIAM J. Comput. David Durfee, John Peebles, Richard Peng, Anup B. Rao
2020	A*	`conf`	High-precision Estimation of Random Walks in Small Space. FOCS AmirMahdi Ahmadinejad, Jonathan A. Kelner, Jack Murtagh, John Peebles, Aaron Sidford, Salil P. Vadhan
2020	J	`jnl`	Optimal Testing of Discrete Distributions with High Probability. CoRR Ilias Diakonikolas, Themis Gouleakis, Daniel M. Kane, John Peebles, Eric Price
2020	J	`jnl`	Optimal Testing of Discrete Distributions with High Probability. Electron. Colloquium Comput. Complex. Ilias Diakonikolas, Themis Gouleakis, Daniel Kane, John Peebles, Eric Price
2020	—	`conf`	The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement. ECCV (6) William S. Peebles, John Peebles, Jun-Yan Zhu, Alexei A. Efros, Antonio Torralba
2020	J	`jnl`	The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement. CoRR William S. Peebles, John Peebles, Jun-Yan Zhu, Alexei A. Efros, Antonio Torralba
2019	J	`jnl`	Collision-Based Testers are Optimal for Uniformity and Closeness. Chic. J. Theor. Comput. Sci. Ilias Diakonikolas, Themis Gouleakis, John Peebles, Eric Price
2019	J	`jnl`	High-precision Estimation of Random Walks in Small Space. CoRR AmirMahdi Ahmadinejad, Jonathan A. Kelner, Jack Murtagh, John Peebles, Aaron Sidford, Salil P. Vadhan
2019	A*	`conf`	Testing Identity of Multidimensional Histograms. COLT Ilias Diakonikolas, Daniel M. Kane, John Peebles
2019	A*	`conf`	Towards Testing Monotonicity of Distributions Over General Posets. COLT Maryam Aliakbarpour, Themis Gouleakis, John Peebles, Ronitt Rubinfeld, Anak Yodpinyanee
2019	J	`jnl`	Towards Testing Monotonicity of Distributions Over General Posets. CoRR Maryam Aliakbarpour, Themis Gouleakis, John Peebles, Ronitt Rubinfeld, Anak Yodpinyanee
2018	A*	`conf`	On the Limitations of First-Order Approximation in GAN Dynamics. ICML Jerry Li, Aleksander Madry, John Peebles, Ludwig Schmidt
2018	A*	`conf`	Sample-Optimal Identity Testing with High Probability. ICALP Ilias Diakonikolas, Themis Gouleakis, John Peebles, Eric Price
2018	A*	`conf`	Solving Directed Laplacian Systems in Nearly-Linear Time through Sparse LU Factorizations. FOCS Michael B. Cohen, Jonathan A. Kelner, Rasmus Kyng, John Peebles, Richard Peng, Anup B. Rao, Aaron Sidford
2018	J	`jnl`	Solving Directed Laplacian Systems in Nearly-Linear Time through Sparse LU Factorizations. CoRR Michael B. Cohen, Jonathan A. Kelner, Rasmus Kyng, John Peebles, Richard Peng, Anup B. Rao, Aaron Sidford
2018	J	`jnl`	Sublinear-Time Algorithms for Counting Star Subgraphs via Edge Sampling. Algorithmica Maryam Aliakbarpour, Amartya Shankha Biswas, Themis Gouleakis, John Peebles, Ronitt Rubinfeld, Anak Yodpinyanee
2018	J	`jnl`	Testing Identity of Multidimensional Histograms. CoRR Ilias Diakonikolas, Daniel M. Kane, John Peebles
2017	A*	`conf`	Almost-linear-time algorithms for Markov chains and new spectral primitives for directed graphs. STOC Michael B. Cohen, Jonathan A. Kelner, John Peebles, Richard Peng, Anup B. Rao, Aaron Sidford, Adrian Vladu
2017	A*	`conf`	Determinant-Preserving Sparsification of SDDM Matrices with Applications to Counting and Sampling Spanning Trees. FOCS David Durfee, John Peebles, Richard Peng, Anup B. Rao
2017	J	`jnl`	Determinant-Preserving Sparsification of SDDM Matrices with Applications to Counting and Sampling Spanning Trees. CoRR David Durfee, John Peebles, Richard Peng, Anup B. Rao
2017	J	`jnl`	Sample-Optimal Identity Testing with High Probability. CoRR Ilias Diakonikolas, Themis Gouleakis, John Peebles, Eric Price
2017	J	`jnl`	Sample-Optimal Identity Testing with High Probability. Electron. Colloquium Comput. Complex. Ilias Diakonikolas, Themis Gouleakis, John Peebles, Eric Price
2017	A*	`conf`	Sampling random spanning trees faster than matrix multiplication. STOC David Durfee, Rasmus Kyng, John Peebles, Anup B. Rao, Sushant Sachdeva
2017	J	`jnl`	Towards Understanding the Dynamics of Generative Adversarial Networks. CoRR Jerry Li, Aleksander Madry, John Peebles, Ludwig Schmidt
2016	J	`jnl`	Almost-Linear-Time Algorithms for Markov Chains and New Spectral Primitives for Directed Graphs. CoRR Michael B. Cohen, Jonathan A. Kelner, John Peebles, Richard Peng, Anup B. Rao, Aaron Sidford, Adrian Vladu
2016	J	`jnl`	Collision-based Testers are Optimal for Uniformity and Closeness. CoRR Ilias Diakonikolas, Themis Gouleakis, John Peebles, Eric Price
2016	J	`jnl`	Collision-based Testers are Optimal for Uniformity and Closeness. Electron. Colloquium Comput. Complex. Ilias Diakonikolas, Themis Gouleakis, John Peebles, Eric Price
2016	A*	`conf`	Faster Algorithms for Computing the Stationary Distribution, Simulating Random Walks, and More. FOCS Michael B. Cohen, Jonathan A. Kelner, John Peebles, Richard Peng, Aaron Sidford, Adrian Vladu
2016	J	`jnl`	Faster Algorithms for Computing the Stationary Distribution, Simulating Random Walks, and More. CoRR Michael B. Cohen, Jonathan A. Kelner, John Peebles, Richard Peng, Aaron Sidford, Adrian Vladu
2016	J	`jnl`	Sampling Random Spanning Trees Faster than Matrix Multiplication. CoRR David Durfee, Rasmus Kyng, John Peebles, Anup B. Rao, Sushant Sachdeva
2016	J	`jnl`	Sublinear-Time Algorithms for Counting Star Subgraphs with Applications to Join Selectivity Estimation. CoRR Maryam Aliakbarpour, Amartya Shankha Biswas, Themistoklis Gouleakis, John Peebles, Ronitt Rubinfeld, Anak Yodpinyanee
2015	—	`conf`	Replacing Mark Bits with Randomness in Fibonacci Heaps. ICALP (1) Jerry Li, John Peebles
2014	J	`jnl`	Replacing Mark Bits with Randomness in Fibonacci Heaps. CoRR Jerry Li, John Peebles