KR
Kannan Ramchandran
cs.ITmath.ITcs.LGstat.MLcs.DCcs.AIcs.NIcs.CRmath.OCcs.CL
On Valency
published · living versionsW_azdgxx9g·v1 · currentpublished
When is it Better to Compare than to Score?
with Nihar B. Shah, Sivaraman Balakrishnan, Joseph Bradley, Abhay Parekh +1
1 version
Preprints & journals
152 papers in the corpus · 2007–2026Fantastic Adaptive Taxonomies and How to Use Them2607.16387v2 · Mert Cemri, Andrei Cojocaru, Melissa Pan et al.2026 · 0 citationsarXiv
From Markov to Laplace: How Mamba In-Context Learns Markov Chains2502.10178v2 · Marco Bondaschi, Nived Rajaraman, Xiuying Wei et al.2025 · 0 citationsarXiv
Fast and Efficient Sparse 2D Discrete Fourier Transform using Sparse-Graph Codes1509.05849v1 · Frank Ong, Sameer Pawar, Kannan Ramchandran2015 · 11 citationsarXiv
Customized Local Differential Privacy for Multi-Agent Distributed Optimization1806.06035v2 · Roel Dobbe, Ye Pu, Jingge Zhu et al.2018 · 10 citationsarXiv
Matching Observations to Distributions: Efficient Estimation via Sparsified Hungarian Algorithm1806.06766v2 · Sinho Chewi, Forest Yang, Avishek Ghosh et al.2018 · 2 citationsarXiv
An Odd Estimator for Shapley Values2602.01399v2 · Fabian Fumagalli, Landon Butler, Justin Singh Kang et al.2026 · 0 citationsarXiv
Towards Anytime-Valid Statistical Watermarking2602.17608v1 · Baihe Huang, Eric Xu, Kannan Ramchandran et al.2026 · 0 citationsarXiv
Adaptive Sparse M\"obius Transforms for Learning Polynomials2602.06246v1 · Yigit Efe Erginbas, Justin Singh Kang, Elizabeth Polito et al.2026 · 0 citationsarXiv
A Positive Case for Faithfulness: LLM Self-Explanations Help Predict Model Behavior2602.02639v1 · Harry Mayne, Justin Singh Kang, Dewi Gould et al.2026 · 0 citationsarXiv
Quantifying Positional Biases in Text Embedding Models2412.15241v4 · Reagan J. Lee, Samarth Goel, Kannan Ramchandran2024 · 0 citationsarXiv
Why Do Multi-Agent LLM Systems Fail?2503.13657v3 · Mert Cemri, Melissa Z. Pan, Shuyi Yang et al.2025 · 44 citationsarXiv
ProxySPEX: Inference-Efficient Interpretability via Sparse Feature Interactions in LLMs2505.17495v2 · Landon Butler, Abhineet Agarwal, Justin Singh Kang et al.2025 · 0 citationsarXiv
SAGE: A Realistic Benchmark for Semantic Understanding2509.21310v1 · Samarth Goel, Reagan J. Lee, Kannan Ramchandran2025 · 0 citationsarXiv
VersaPRM: Multi-Domain Process Reward Model via Synthetic Reasoning Data2502.06737v2 · Thomas Zeng, Shuibai Zhang, Shutong Wu et al.2025 · 0 citationsarXiv
Sample Complexity and Representation Ability of Test-time Scaling Paradigms2506.05295v2 · Baihe Huang, Shanda Li, Tianhao Wu et al.2025 · 0 citationsarXiv
Looped Transformers for Length Generalization2409.15647v5 · Ying Fan, Yilun Du, Kannan Ramchandran et al.2024 · 0 citationsarXiv
Toward a Theory of Tokenization in LLMs2404.08335v2 · Nived Rajaraman, Jiantao Jiao, Kannan Ramchandran2024 · 4 citationsarXiv
Double Blind Imaging with Generative Modeling2503.21501v1 · Brett Levac, Ajil Jalal, Kannan Ramchandran et al.2025 · 0 citationsarXiv
SPEX: Scaling Feature Interaction Explanations for LLMs2502.13870v1 · Justin Singh Kang, Landon Butler, Abhineet Agarwal et al.2025 · 0 citationsarXiv
EmbedLLM: Learning Compact Representations of Large Language Models2410.02223v2 · Richard Zhuang, Tianhao Wu, Zhaojin Wen et al.2024 · 0 citationsarXiv
Transformers on Markov Data: Constant Depth Suffices2407.17686v1 · Nived Rajaraman, Marco Bondaschi, Kannan Ramchandran et al.2024 · 1 citationarXiv
Learning to Understand: Identifying Interactions via the M\"obius Transform2402.02631v2 · Justin S. Kang, Yigit E. Erginbas, Landon Butler et al.2024 · 0 citationsarXiv
The Fair Value of Data Under Heterogeneous Privacy Constraints in Federated Learning2301.13336v2 · Justin Kang, Ramtin Pedarsani, Kannan Ramchandran2023 · 2 citationsarXiv
Statistical Complexity and Optimal Algorithms for Non-linear Ridge Bandits2302.06025v3 · Nived Rajaraman, Yanjun Han, Jiantao Jiao et al.2023 · 0 citationsarXiv
Pairwise Proximal Policy Optimization: Harnessing Relative Feedback for LLM Alignment2310.00212v3 · Tianhao Wu, Banghua Zhu, Ruoyu Zhang et al.2023 · 4 citationsarXiv
Model Selection for Generic Contextual Bandits2107.03455v2 · Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran2021 · 3 citationsarXiv
MRI Reconstruction with Side Information using Diffusion Models2303.14795v2 · Brett Levac, Ajil Jalal, Kannan Ramchandran et al.2023 · 7 citationsarXiv
Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data2202.02842v3 · Yaoqing Yang, Ryan Theisen, Liam Hodgkinson et al.2022 · 0 citationsProceedings of the 29th ACM SIGKDD international conference on knowledge discovery and data mining (2023)
Greedy Pruning with Group Lasso Provably Generalizes for Matrix Sensing2303.11453v2 · Nived Rajaraman, Devvrit, Aryan Mokhtari et al.2023 · 1 citationarXiv
Minimax Optimal Online Imitation Learning via Replay Estimation2205.15397v5 · Gokul Swamy, Nived Rajaraman, Matthew Peng et al.2022 · 1 citationarXiv
Efficiently Computing Sparse Fourier Transforms of $q$-ary Functions2301.06200v1 · Yigit Efe Erginbas, Justin Singh Kang, Amirali Aghazadeh et al.2023 · 4 citationsarXiv
Interactive Learning with Pricing for Optimal and Stable Allocations in Markets2212.06891v1 · Yigit Efe Erginbas, Soham Phade, Kannan Ramchandran2022 · 0 citationsarXiv
Spectral Regularization Allows Data-frugal Learning over Combinatorial Spaces2210.02604v1 · Amirali Aghazadeh, Nived Rajaraman, Tony Tu et al.2022 · 0 citationsarXiv
Interactive Recommendations for Optimal Allocations in Markets with Constraints2207.04143v2 · Yigit Efe Erginbas, Soham Phade, Kannan Ramchandran2022 · 1 citationarXiv
Neurotoxin: Durable Backdoors in Federated Learning2206.10341v1 · Zhengming Zhang, Ashwinee Panda, Linyue Song et al.2022 · 30 citationsarXiv
Decentralized Competing Bandits in Non-Stationary Matching Markets2206.00120v1 · Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran et al.2022 · 3 citationsarXiv
The Square Root Agreement Rule for Incentivizing Truthful Feedback on Online Platforms1507.07045v5 · Vijay Kamble, Nihar Shah, David Marn et al.2015 · 9 citationsarXiv
Adaptive Clustering and Personalization in Multi-Agent Stochastic Linear Bandits2106.08902v2 · Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran2021 · 2 citationsarXiv
Utility-based Resource Allocation and Pricing for Serverless Computing2008.07793v2 · Vipul Gupta, Soham Phade, Thomas Courtade et al.2020 · 1 citationarXiv
Escaping Saddle Points in Distributed Newton's Method with Communication Efficiency and Byzantine Resilience2103.09424v2 · Avishek Ghosh, Raj Kumar Maity, Arya Mazumdar et al.2021 · 1 citationarXiv
Taxonomizing local versus global structure in neural network loss landscapes2107.11228v2 · Yaoqing Yang, Liam Hodgkinson, Ryan Theisen et al.2021 · 12 citationsThirty-fifth Annual Conference on Neural Information Processing Systems, 2021
Model Selection for Generic Reinforcement Learning2107.05849v2 · Avishek Ghosh, Sayak Ray Chowdhury, Kannan Ramchandran2021 · 0 citationsarXiv
Epistatic Net allows the sparse spectral regularization of deep neural networks for inferring fitness functions.34471113 · Aghazadeh, Amirali, Nisonoff, Hunter, Ocal, Orhan et al.2021 · 45 citationsNature communications. 2021;12(1):5225
Communication-Efficient and Byzantine-Robust Distributed Learning with Error Feedback1911.09721v5 · Avishek Ghosh, Raj Kumar Maity, Swanand Kadhe et al.2019 · 22 citationsarXiv
An Efficient Framework for Clustered Federated Learning2006.04088v2 · Avishek Ghosh, Jichan Chung, Dong Yin et al.2020 · 629 citationsarXiv
BEAR: Sketching BFGS Algorithm for Ultra-High Dimensional Feature Selection in Sublinear Memory2010.13829v2 · Amirali Aghazadeh, Vipul Gupta, Alex DeWeese et al.2020 · 1 citationarXiv
Sparse Epistatic Regularization of Deep Neural Networks for Inferring Fitness Functions10.1101/2020.11.24.396994v3 · Aghazadeh, A., Nisonoff, H., Ocal, O. et al.2020 · 4 citationsbioRxiv
Training Recommender Systems at Scale: Communication-Efficient Model and Data Parallelism2010.08899v2 · Vipul Gupta, Dhruv Choudhary, Ping Tak Peter Tang et al.2020 · 33 citationsarXiv
LocalNewton: Reducing Communication Bottleneck for Distributed Learning2105.07320v1 · Vipul Gupta, Avishek Ghosh, Michal Derezinski et al.2021 · 4 citationsarXiv
CRISPRL and: Interpretable large-scale inference of DNA repair landscape based on a spectral approach.32657417 · Aghazadeh, Amirali, Ocal, Orhan, Ramchandran, Kannan2021 · 7 citationsBioinformatics (Oxford, England). 2020;36(Suppl_1):i560-i568
Career total: 659 works. 152 are in this corpus.Showing the 50 most recent.
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