Sathiya Keerthi

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All published works
Action Title Year Authors
+ PDF Chat LiMAML: Personalization of Deep Recommender Models via Meta Learning 2024 Ruofan Wang
Prakruthi Prabhakar
Gaurav Srivastava
T. W. Wang
Zeinab S. Jalali
Varun Bharill
Yunbo Ouyang
Aastha Nigam
Divya Venugopalan
Aman Gupta
+ PDF Chat LiRank: Industrial Large Scale Ranking Models at LinkedIn 2024 Fedor Borisyuk
Mingzhou Zhou
Qingquan Song
Siyu Zhu
Birjodh Tiwana
Ganesh Parameswaran
Siddharth Dangi
Lars Hertel
Qiang Charles Xiao
Xiaochen Hou
+ PDF Chat LiMAML: Personalization of Deep Recommender Models via Meta Learning 2024 Ruofan Wang
Prakruthi Prabhakar
Gaurav Srivastava
Tianqi Wang
Zeinab S. Jalali
Varun Bharill
Yunbo Ouyang
Aastha Nigam
Divya Venugopalan
Aman Gupta
+ PDF Chat LiRank: Industrial Large Scale Ranking Models at LinkedIn 2024 Fedor Borisyuk
Mingzhou Zhou
Qingquan Song
Siyu Zhu
Birjodh Tiwana
Ganesh Parameswaran
Siddharth Dangi
Lars Hertel
Qiang Xiao
Xiaochen Hou
+ A Precise Characterization of SGD Stability Using Loss Surface Geometry 2024 Gregory Dexter
Borja Ocejo
Sathiya Keerthi
Aman Gupta
Ayan Acharya
Rajiv Khanna
+ mSAM: Micro-Batch-Averaged Sharpness-Aware Minimization 2023 Kayhan Behdin
Qingquan Song
Aman Gupta
Ayan Acharya
David Durfee
Borja Ocejo
Sathiya Keerthi
Rahul Mazumder
+ QuantEase: Optimization-based Quantization for Language Models 2023 Kayhan Behdin
Ayan Acharya
Aman Gupta
Sathiya Keerthi
Rahul Mazumder
+ Improved Deep Neural Network Generalization Using m-Sharpness-Aware Minimization 2022 Kayhan Behdin
Qingquan Song
Aman Gupta
David Durfee
Ayan Acharya
Sathiya Keerthi
Rahul Mazumder
+ Efficient Algorithms for Global Inference in Internet Marketplaces. 2021 Rohan Ramanath
Sathiya Keerthi
Yao Pan
Konstantin Salomatin
Kinjal Basu
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems 2021 Ruoxi Wang
Rakesh Shivanna
Derek Zhiyuan Cheng
Sagar Jain
Dong Lin
Lichan Hong
Ed H.
2
+ Wide & Deep Learning for Recommender Systems 2016 Heng-Tze Cheng
Levent Koç
Jeremiah Harmsen
Tal Shaked
Tushar Chandra
Hrishi Aradhye
Glen Anderson
Greg S. Corrado
Wei Koong Chai
Mustafa Ispir
2
+ New algorithms for singly linearly constrained quadratic programs subject to lower and upper bounds 2005 Yu‐Hong Dai
R. Fletcher
1
+ Finding the nearest point in A polytope 1976 Philip Wolfe
1
+ PDF Chat A Limited Memory Algorithm for Bound Constrained Optimization 1995 Richard H. Byrd
Peihuang Lu
Jorge Nocedal
Ciyou Zhu
1
+ Gradient methods for minimizing composite functions 2012 Yu. Nesterov
1
+ PDF Chat Nonlinear Perturbation of Linear Programs 1979 O. L. Mangasarian
R. R. Meyer
1
+ PDF Chat A Tutorial on Dual Decomposition and Lagrangian Relaxation for Inference in Natural Language Processing 2012 Alexander M. Rush
Michael J. Collins
1
+ PDF Chat Product-Based Neural Networks for User Response Prediction 2016 Yanru Qu
Han Cai
Kan Ren
Weinan Zhang
Yong Yu
Ying Wen
Jun Wang
1
+ PDF Chat Diverse M-Best Solutions by Dynamic Programming 2017 Carsten Haubold
Virginie Uhlmann
Michaël Unser
Fred A. Hamprecht
1
+ Provable Submodular Minimization using Wolfe's Algorithm 2014 Deeparnab Chakrabarty
Prateek Jain
Pravesh K. Kothari
1
+ PDF Chat Sequential Scenario-Specific Meta Learner for Online Recommendation 2019 Zhengxiao Du
Xiaowei Wang
Hongxia Yang
Jingren Zhou
Jie Tang
1
+ Line Search and Trust-Region Methods for Convex-Composite Optimization 2018 James V. Burke
Abraham Engle
1
+ Bayesian Optimization for Policy Search via Online-Offline Experimentation 2019 Benjamin Letham
Eytan Bakshy
1
+ PDF Chat Behavior sequence transformer for e-commerce recommendation in Alibaba 2019 Qiwei Chen
Huan Zhao
Wei Li
Pipei Huang
Wenwu Ou
1
+ PDF Chat Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT 2020 Sheng Shen
Zhen Dong
Jiayu Ye
Linjian Ma
Zhewei Yao
Amir Gholami
Michael W. Mahoney
Kurt Keutzer
1
+ PDF Chat MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection 2020 Mi Luo
Fei Chen
Pengxiang Cheng
Zhenhua Dong
Xiuqiang He
Jiashi Feng
Zhenguo Li
1
+ Introductory Lectures on Convex Optimization: A Basic Course 2014 Ю Е Нестеров
1
+ PDF Chat Learning Graph Meta Embeddings for Cold-Start Ads in Click-Through Rate Prediction 2021 Wentao Ouyang
Xiuwu Zhang
Shukui Ren
Li Li
Kun Zhang
Jinmei Luo
Zhaojie Liu
Yanlong Du
1
+ PDF Chat Personalized Adaptive Meta Learning for Cold-start User Preference Prediction 2021 Runsheng Yu
Yu Gong
Xu He
Yu Zhu
Qingwen Liu
Wenwu Ou
Bo An
1
+ PDF Chat Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems 2021 Danni Peng
Sinno Jialin Pan
Jie Zhang
Anxiang Zeng
1
+ PDF Chat A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations 2022 Krishna Prasad Neupane
Ervine Zheng
Yu Kong
Qi Yu
1
+ PDF Chat Meta-Learning for Online Update of Recommender Systems 2022 Minseok Kim
Hwanjun Song
Yooju Shin
Dongmin Park
Kijung Shin
Jae-Gil Lee
1
+ PDF Chat Multi-objective Optimization of Notifications Using Offline Reinforcement Learning 2022 Prakruthi Prabhakar
Yiping Yuan
Guangyu Yang
Wensheng Sun
Ajith Muralidharan
1
+ Constructing a maximum utility slate of on-line advertisements 2007 S. Sathiya Keerthi
John A. Tomlin
1
+ G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems 2023 Youshao Xiao
Shangchun Zhao
Zhenglei Zhou
Zhaoxin Huan
Lin Ju
Xiaolu Zhang
Lin Wang
Jun Zhou
1
+ PDF Chat An extension of the Munkres algorithm for the assignment problem to rectangular matrices 1971 F. Bourgeois
J. C. Lassalle
1