More from the Same Authors

• 2022 Poster: In defense of dual-encoders for neural ranking »
  Aditya Menon · Sadeep Jayasumana · Ankit Singh Rawat · Seungyeon Kim · Sashank Jakkam Reddi · Sanjiv Kumar
• 2022 Spotlight: In defense of dual-encoders for neural ranking »
  Aditya Menon · Sadeep Jayasumana · Ankit Singh Rawat · Seungyeon Kim · Sashank Jakkam Reddi · Sanjiv Kumar
• 2022 Poster: Robust Training of Neural Networks Using Scale Invariant Architectures »
  Zhiyuan Li · Srinadh Bhojanapalli · Manzil Zaheer · Sashank Jakkam Reddi · Sanjiv Kumar
• 2022 Oral: Robust Training of Neural Networks Using Scale Invariant Architectures »
  Zhiyuan Li · Srinadh Bhojanapalli · Manzil Zaheer · Sashank Jakkam Reddi · Sanjiv Kumar
• 2021 Poster: A statistical perspective on distillation »
  Aditya Menon · Ankit Singh Rawat · Sashank Jakkam Reddi · Seungyeon Kim · Sanjiv Kumar
• 2021 Poster: Disentangling Sampling and Labeling Bias for Learning in Large-output Spaces »
  Ankit Singh Rawat · Aditya Menon · Wittawat Jitkrittum · Sadeep Jayasumana · Felix Xinnan Yu · Sashank Jakkam Reddi · Sanjiv Kumar
• 2021 Spotlight: A statistical perspective on distillation »
  Aditya Menon · Ankit Singh Rawat · Sashank Jakkam Reddi · Seungyeon Kim · Sanjiv Kumar
• 2021 Spotlight: Disentangling Sampling and Labeling Bias for Learning in Large-output Spaces »
  Ankit Singh Rawat · Aditya Menon · Wittawat Jitkrittum · Sadeep Jayasumana · Felix Xinnan Yu · Sashank Jakkam Reddi · Sanjiv Kumar
• 2020 Poster: Does label smoothing mitigate label noise? »
  Michal Lukasik · Srinadh Bhojanapalli · Aditya Menon · Sanjiv Kumar
• 2020 Poster: Low-Rank Bottleneck in Multi-head Attention Models »
  Srinadh Bhojanapalli · Chulhee Yun · Ankit Singh Rawat · Sashank Jakkam Reddi · Sanjiv Kumar
• 2020 Poster: Accelerating Large-Scale Inference with Anisotropic Vector Quantization »
  Ruiqi Guo · Philip Sun · Erik Lindgren · Quan Geng · David Simcha · Felix Chern · Sanjiv Kumar
• 2020 Poster: Federated Learning with Only Positive Labels »
  Felix Xinnan Yu · Ankit Singh Rawat · Aditya Menon · Sanjiv Kumar
• 2019 Poster: Escaping Saddle Points with Adaptive Gradient Methods »
  Matthew Staib · Sashank Jakkam Reddi · Satyen Kale · Sanjiv Kumar · Suvrit Sra
• 2019 Oral: Escaping Saddle Points with Adaptive Gradient Methods »
  Matthew Staib · Sashank Jakkam Reddi · Satyen Kale · Sanjiv Kumar · Suvrit Sra
• 2019 Poster: Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling »
  Shanshan Wu · Alexandros Dimakis · Sujay Sanghavi · Felix Xinnan Yu · Daniel Holtmann-Rice · Dmitry Storcheus · Afshin Rostamizadeh · Sanjiv Kumar
• 2019 Oral: Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling »
  Shanshan Wu · Alexandros Dimakis · Sujay Sanghavi · Felix Xinnan Yu · Daniel Holtmann-Rice · Dmitry Storcheus · Afshin Rostamizadeh · Sanjiv Kumar
• 2018 Poster: Loss Decomposition for Fast Learning in Large Output Spaces »
  En-Hsu Yen · Satyen Kale · Felix Xinnan Yu · Daniel Holtmann-Rice · Sanjiv Kumar · Pradeep Ravikumar
• 2018 Oral: Loss Decomposition for Fast Learning in Large Output Spaces »
  En-Hsu Yen · Satyen Kale · Felix Xinnan Yu · Daniel Holtmann-Rice · Sanjiv Kumar · Pradeep Ravikumar
• 2017 Poster: Stochastic Generative Hashing »
  Bo Dai · Ruiqi Guo · Sanjiv Kumar · Niao He · Le Song
• 2017 Talk: Stochastic Generative Hashing »
  Bo Dai · Ruiqi Guo · Sanjiv Kumar · Niao He · Le Song
• 2017 Poster: Distributed Mean Estimation with Limited Communication »
  Ananda Theertha Suresh · Felix Xinnan Yu · Sanjiv Kumar · Brendan McMahan
• 2017 Talk: Distributed Mean Estimation with Limited Communication »
  Ananda Theertha Suresh · Felix Xinnan Yu · Sanjiv Kumar · Brendan McMahan