Mikhail Khodak

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All published works

Action	Title	Year	Authors
+ PDF Chat	SureMap: Simultaneous Mean Estimation for Single-Task and Multi-Task Disaggregated Evaluation	2024	Mikhail Khodak Lester Mackey Alexandra Chouldechova Miroslav Dudı́k
+ PDF Chat	Specialized Foundation Models Struggle to Beat Supervised Baselines	2024	Zongzhe Xu Ritvik Gupta Cheng Wang Alexander Shen Jun-Hong Shen Ameet Talwalkar Mikhail Khodak
+	Cross-Modal Fine-Tuning: Align then Refine	2023	Jun-Hong Shen Liam Li Lucio M. Dery Corey Staten Mikhail Khodak Graham Neubig Ameet Talwalkar
+	Meta-Learning Adversarial Bandit Algorithms	2023	Mikhail Khodak Ilya Osadchiy Keegan Harris Maria-Florina Balcan Kfir Y. Levy Ron Meir Zhiwei Steven Wu
+	Learning to Relax: Setting Solver Parameters Across a Sequence of Linear System Instances	2023	Mikhail Khodak Edmond Chow Maria-Florina Balcan Ameet Talwalkar
+	Learning Predictions for Algorithms with Predictions	2022	Mikhail Khodak Maria-Florina Balcan Ameet Talwalkar Sergei Vassilvitskii
+	Efficient Architecture Search for Diverse Tasks	2022	Jun-Hong Shen Mikhail Khodak Ameet Talwalkar
+	Meta-Learning Adversarial Bandits	2022	Maria-Florina Balcan Keegan Harris Mikhail Khodak Zhiwei Steven Wu
+	Provably tuning the ElasticNet across instances	2022	Maria-Florina Balcan Mikhail Khodak Dravyansh Sharma Ameet Talwalkar
+	Learning-Augmented Private Algorithms for Multiple Quantile Release	2022	Kareem Amin Travis Dick Mikhail Khodak Sergei Vassilvitskii
+	On Noisy Evaluation in Federated Hyperparameter Tuning	2022	Kevin H.M. Kuo Pratiksha Thaker Mikhail Khodak John Ngyuen Daniel R. Jiang Ameet Talwalkar Virginia Smith
+	AANG: Automating Auxiliary Learning	2022	Lucio M. Dery Paul Michel Mikhail Khodak Graham Neubig Ameet Talwalkar
+	Meta-Learning in Games	2022	Keegan Harris Ioannis Anagnostides Gabriele Farina Mikhail Khodak Zhiwei Steven Wu Tüomas Sandholm
+	Rethinking Neural Operations for Diverse Tasks	2021	Nicholas Roberts Mikhail Khodak Tri Dao Liam Li Christopher Ré Ameet Talwalkar
+	Learning-to-learn non-convex piecewise-Lipschitz functions	2021	Maria-Florina Balcan Mikhail Khodak Dravyansh Sharma Ameet Talwalkar
+	NAS-Bench-360: Benchmarking Diverse Tasks for Neural Architecture Search	2021	Renbo Tu Mikhail Khodak Nicholas Roberts Ameet Talwalkar
+	Learning-to-learn non-convex piecewise-Lipschitz functions	2021	Maria-Florina Balcan Mikhail Khodak Dravyansh Sharma Ameet Talwalkar
+	Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing	2021	Mikhail Khodak Renbo Tu Li Tian Liam Li Maria-Florina Balcan Virginia Smith Ameet Talwalkar
+	Initialization and Regularization of Factorized Neural Layers	2021	Mikhail Khodak Neil Tenenholtz Lester Mackey Nicolò Fusi
+	Initialization and Regularization of Factorized Neural Layers	2021	Mikhail Khodak Neil Tenenholtz Lester Mackey Nicolò Fusi
+	Rethinking Neural Operations for Diverse Tasks	2021	Nicholas Roberts Mikhail Khodak Tri Dao Liam Li Christopher Ré Ameet Talwalkar
+	NAS-Bench-360: Benchmarking Neural Architecture Search on Diverse Tasks	2021	Renbo Tu Nicholas J. Roberts Mikhail Khodak Jun-Hong Shen Frédéric Sala Ameet Talwalkar
+	Learning-to-learn non-convex piecewise-Lipschitz functions	2021	Maria-Florina Balcan Mikhail Khodak Dravyansh Sharma Ameet Talwalkar
+	Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing	2021	Mikhail Khodak Renbo Tu Tian Li Liam Li Maria-Florina Balcan Virginia Smith Ameet Talwalkar
+	Rethinking Neural Operations for Diverse Tasks	2021	Nicholas J. Roberts Mikhail Khodak Tri Dao Liam Li Christopher Ré Ameet Talwalkar
+ PDF Chat	Advances and Open Problems in Federated Learning	2021	Peter Kairouz H. Brendan McMahan Brendan Avent Aurélien Bellet Mehdi Bennis Arjun Nitin Bhagoji Kallista Bonawitz Zachary Charles Graham Cormode Rachel Cummings
+	Initialization and Regularization of Factorized Neural Layers	2021	Mikhail Khodak Neil Tenenholtz Lester Mackey Nicolò Fusi
+	Geometry-Aware Gradient Algorithms for Neural Architecture Search	2020	Liam Li Mikhail Khodak Maria-Florina Balcan Ameet Talwalkar
+ PDF Chat	Geometry-Aware Gradient Algorithms for Neural Architecture Search	2020	Liam Li Mikhail Khodak Maria-Florina Balcan Ameet Talwalkar
+	A Sample Complexity Separation between Non-Convex and Convex Meta-Learning	2020	Nikunj Saunshi Yi Zhang Mikhail Khodak Sanjeev Arora
+	Geometry-Aware Gradient Algorithms for Neural Architecture Search	2020	Liam Li Mikhail Khodak Nina Balcan Ameet Talwalkar
+	A Sample Complexity Separation between Non-Convex and Convex Meta-Learning	2020	Nikunj Saunshi Yi Zhang Mikhail Khodak Sanjeev Arora
+	Differentially Private Meta-Learning	2019	Jeffrey Li Mikhail Khodak Sebastian Caldas Ameet Talwalkar
+	Adaptive Gradient-Based Meta-Learning Methods	2019	Mikhail Khodak Maria-Florina Balcan Ameet Talwalkar
+	Adaptive Gradient-Based Meta-Learning Methods	2019	Mikhail Khodak Maria-Florina Balcan Ameet Talwalkar
+	A Theoretical Analysis of Contrastive Unsupervised Representation Learning	2019	Sanjeev Arora Hrishikesh Khandeparkar Mikhail Khodak Orestis Plevrakis Nikunj Saunshi
+	Provable Guarantees for Gradient-Based Meta-Learning	2019	Mikhail Khodak Maria-Florina Balcan Ameet Talwalkar
+	Differentially Private Meta-Learning	2019	Jeffrey Li Mikhail Khodak Sebastian Caldas Ameet Talwalkar
+	Adaptive Gradient-Based Meta-Learning Methods	2019	Mikhail Khodak Maria-Florina Balcan Ameet Talwalkar
+ PDF Chat	A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors	2018	Mikhail Khodak Nikunj Saunshi Yingyu Liang Tengyu Ma Brandon Stewart Sanjeev Arora
+	A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors	2018	Mikhail Khodak Nikunj Saunshi Yingyu Liang Tengyu Ma Brandon Stewart Sanjeev Arora
+	A Large Self-Annotated Corpus for Sarcasm	2017	Mikhail Khodak Nikunj Saunshi Kiran Vodrahalli
+	A Large Self-Annotated Corpus for Sarcasm	2017	Mikhail Khodak Nikunj Saunshi Kiran Vodrahalli
+	Extending and Improving Wordnet via Unsupervised Word Embeddings	2017	Mikhail Khodak Andrej Risteski Christiane Fellbaum Sanjeev Arora

Common Coauthors

Coauthor	Papers Together
Ameet Talwalkar	27
Maria-Florina Balcan	16
Liam Li	8
Nikunj Saunshi	7
Sanjeev Arora	6
Lester Mackey	4
Dravyansh Sharma	4
Renbo Tu	4
Jun-Hong Shen	4
Nicolò Fusi	3
Tri Dao	3
Virginia Smith	3
Zhiwei Steven Wu	3
Keegan Harris	3
Nicholas Roberts	3
Neil Tenenholtz	3
Christopher Ré	3
Sergei Vassilvitskii	2
Jeffrey Li	2
Yingyu Liang	2
Kiran Vodrahalli	2
Brandon Stewart	2
Graham Neubig	2
Tengyu Ma	2
Sebastian Caldas	2
Lucio M. Dery	2
Nicholas J. Roberts	2
John Ngyuen	1
Praneeth Vepakomma	1
Rasmus Pagh	1
Kfir Y. Levy	1
Pratiksha Thaker	1
Chaoyang He	1
Farinaz Koushanfar	1
Dawn Song	1
Zaïd Harchaoui	1
Ron Meir	1
Kallista Bonawitz	1
Zachary Garrett	1
Ayfer Özgür	1
Liam Li	1
Rafael G. L. D’Oliveira	1
Corey Staten	1
Yi Zhang	1
Badih Ghazi	1
Tancrède Lepoint	1
Brendan Avent	1
Edmond Chow	1
Zachary Charles	1
Justin Hsu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks	2017	Chelsea Finn Pieter Abbeel Sergey Levine	7
+ PDF Chat	A Model of Inductive Bias Learning	2000	J. Baxter	6
+	Federated Meta-Learning for Recommendation	2018	Fei Chen Zhenhua Dong Zhenguo Li Xiuqiang He	5
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	5
+	Random Search and Reproducibility for Neural Architecture Search	2019	Liam Li Ameet Talwalkar	4
+	PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search	2019	Yuhui Xu Lingxi Xie Xiaopeng Zhang Xin Chen Guo-Jun Qi Qi Tian Hongkai Xiong	4
+	NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search	2020	Xuanyi Dong Yi Yang	4
+	Learning to Learn	1998	Jonathan Baxter	4
+	Deeper Insights into Weight Sharing in Neural Architecture Search	2020	Yuge Zhang Zejun Lin Junyang Jiang Quanlu Zhang Yujing Wang Hui Xue Chen Zhang Yaming Yang	4
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	4
+	The relaxation method of finding the common point of convex sets and its application to the solution of problems in convex programming	1967	L.M. Bregman	4
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	4
+	ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware	2018	Han Cai Ligeng Zhu Song Han	4
+	Wide Residual Networks	2016	Sergey Zagoruyko Nikos Komodakis	4
+	Adaptive Gradient-Based Meta-Learning Methods	2019	Mikhail Khodak Maria-Florina Balcan Ameet Talwalkar	4
+	Prototypical Networks for Few-shot Learning	2017	Jake Snell Kevin Swersky Richard S. Zemel	4
+ PDF Chat	Searching for a Robust Neural Architecture in Four GPU Hours	2019	Xuanyi Dong Yi Yang	3
+	The benefit of multitask representation learning	2016	Andreas Maurer Massimiliano Pontil Bernardino Romera‐Paredes	3
+	Geometry-Aware Gradient Algorithms for Neural Architecture Search	2020	Liam Li Mikhail Khodak Nina Balcan Ameet Talwalkar	3
+ PDF Chat	Federated Learning: Challenges, Methods, and Future Directions	2020	Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith	3
+	ACDC: A Structured Efficient Linear Layer	2015	Marcin Moczulski Misha Denil Jeremy Appleyard Nando de Freitas	3
+	SNAS: Stochastic Neural Architecture Search	2018	Sirui Xie Hehui Zheng Chunxiao Liu Liang Lin	3
+	Regularized Evolution for Image Classifier Architecture Search	2019	Esteban Real Alok Aggarwal Yanping Huang Quoc V. Le	3
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	3
+	Differentially Private Meta-Learning	2019	Jeffrey Li Mikhail Khodak Sebastian Caldas Ameet Talwalkar	3
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	3
+ PDF Chat	Membership Inference Attacks Against Machine Learning Models	2017	Reza Shokri Marco Stronati Congzheng Song Vitaly Shmatikov	3
+ PDF Chat	Learning Transferable Architectures for Scalable Image Recognition	2018	Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le	3
+	Clustering with Bregman Divergences	2004	Arindam Banerjee Srujana Merugu Inderjit S. Dhillon Joydeep Ghosh	2
+ PDF Chat	Stochastic Block Mirror Descent Methods for Nonsmooth and Stochastic Optimization	2015	Cong D. Dang Guanghui Lan	2
+	SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY	2018	Namhoon Lee Thalaiyasingam Ajanthan Philip H. S. Torr	2
+	Online Optimization : Competing with Dynamic Comparators	2015	Ali Jadbabaie Alexander Rakhlin Shahin Shahrampour Karthik Sridharan	2
+ PDF Chat	Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation	2019	Chenxi Liu Liang-Chieh Chen Florian Schroff Hartwig Adam Wei Hua Alan Yuille Li Fei-Fei	2
+	Convolutional neural networks with low-rank regularization	2016	Cheng Tai Tong Xiao Yi Zhang Xiaogang Wang E Weinan	2
+ PDF Chat	Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition	2016	Hamed Karimi Julie Nutini Mark Schmidt	2
+ PDF Chat	Prune and Replace NAS	2019	Kevin Alexander Laube Andreas Zell	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	2
+	A Theoretical Analysis of Contrastive Unsupervised Representation Learning	2019	Sanjeev Arora Hrishikesh Khandeparkar Mikhail Khodak Orestis Plevrakis Nikunj Saunshi	2
+	Mirror descent and nonlinear projected subgradient methods for convex optimization	2003	Amir Beck Marc Teboulle	2
+ PDF Chat	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	Learning-to-Learn Stochastic Gradient Descent with Biased Regularization	2019	Giulia Denevi Carlo Ciliberto Riccardo Grazzi Massimiliano Pontil	2
+	Three Mechanisms of Weight Decay Regularization	2018	Guodong Zhang Chaoqi Wang Bowen Xu Roger Grosse	2
+	Protection Against Reconstruction and Its Applications in Private Federated Learning	2018	Abhishek Bhowmick John C. Duchi Julien Freudiger Gaurav Kapoor Ryan Rogers	2
+	Online gradient-based mixtures for transfer modulation in meta-learning.	2018	Ghassen Jerfel Erin Grant Thomas L. Griffiths Katherine Heller	2
+ PDF Chat	ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design	2018	Ningning Ma Xiangyu Zhang Hai-Tao Zheng Jian Sun	2
+	LEAF: A Benchmark for Federated Settings	2018	Sebastian Caldas Peter Wu Li Tian Jakub Konečný H. Brendan McMahan Virginia Smith Ameet Talwalkar	2
+	Decoupled Weight Decay Regularization	2017	Ilya Loshchilov Frank Hutter	2
+ PDF Chat	Weighted sums of certain dependent random variables	1967	Kazuoki Azuma	2
+	On First-Order Meta-Learning Algorithms.	2018	Alex Nichol Joshua Achiam John Schulman	2
+	Differentially Private Federated Learning: A Client Level Perspective	2017	R. Geyer Tassilo J. Klein Moin Nabi	2