Priya Kasimbeg

11 papers A* 1Journal 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	What do near-optimal learning rate schedules look like? CoRR Hiroki Naganuma, Atish Agarwala, Priya Kasimbeg, George E. Dahl
2025	J	`jnl`	Accelerating Neural Network Training: An Analysis of the AlgoPerf Competition. CoRR Priya Kasimbeg, Frank Schneider, Runa Eschenhagen, Juhan Bae, Chandramouli Shama Sastry, Mark Saroufim, Boyuan Feng, Less Wright, Edward Z. Yang, Zachary Nado, Sourabh Medapati, Philipp Hennig, Michael Rabbat, George E. Dahl
2025	A*	`conf`	Accelerating neural network training: An analysis of the AlgoPerf competition. ICLR Priya Kasimbeg, Frank Schneider, Runa Eschenhagen, Juhan Bae, Chandramouli Shama Sastry, Mark Saroufim, Boyuan Feng, Less Wright, Edward Z. Yang, Zachary Nado, Sourabh Medapati, Philipp Hennig, Michael Rabbat, George E. Dahl
2025	J	`jnl`	How far away are truly hyperparameter-free learning algorithms? CoRR Priya Kasimbeg, Vincent Roulet, Naman Agarwal, Sourabh Medapati, Fabian Pedregosa, Atish Agarwala, George E. Dahl
2025	J	`jnl`	How far away are truly hyperparameter-free learning algorithms? Trans. Mach. Learn. Res. Priya Kasimbeg, Vincent Roulet, Naman Agarwal, Sourabh Medapati, Fabian Pedregosa, Atish Agarwala, George E. Dahl
2025	J	`jnl`	Training neural networks faster with minimal tuning using pre-computed lists of hyperparameters for NAdamW. CoRR Sourabh Medapati, Priya Kasimbeg, Shankar Krishnan, Naman Agarwal, George E. Dahl
2023	J	`jnl`	Benchmarking Neural Network Training Algorithms. CoRR George E. Dahl, Frank Schneider, Zachary Nado, Naman Agarwal, Chandramouli Shama Sastry, Philipp Hennig, Sourabh Medapati, Runa Eschenhagen, Priya Kasimbeg, Daniel Suo, Juhan Bae, Justin Gilmer, Abel L. Peirson, Bilal Khan, Rohan Anil, Mike Rabbat, Shankar Krishnan, Daniel Snider, Ehsan Amid, Kongtao Chen, Chris J. Maddison, Rakshith Vasudev, Michal Badura, Ankush Garg, Peter Mattson
2021	J	`jnl`	Geometry encoding for numerical simulations. CoRR Amir Maleki, Jan Heyse, Rishikesh Ranade, Haiyang He, Priya Kasimbeg, Jay Pathak
2021	J	`jnl`	One-shot learning for solution operators of partial differential equations. CoRR Lu Lu, Haiyang He, Priya Kasimbeg, Rishikesh Ranade, Jay Pathak
2020	J	`jnl`	Interactive Gibson Benchmark: A Benchmark for Interactive Navigation in Cluttered Environments. IEEE Robotics Autom. Lett. Fei Xia, William B. Shen, Chengshu Li, Priya Kasimbeg, Micael Tchapmi, Alexander Toshev, Roberto Martín-Martín, Silvio Savarese
2019	J	`jnl`	Interactive Gibson: A Benchmark for Interactive Navigation in Cluttered Environments. CoRR Fei Xia, William B. Shen, Chengshu Li, Priya Kasimbeg, Micael Tchapmi, Alexander Toshev, Roberto Martín-Martín, Silvio Savarese