Ananda Theertha Suresh
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
60
Venues
14
Active years
2010–2026
Best venue rank
A*
Where they publish
Papers
60 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ISIT | On Robust Hypothesis Testing with respect to the Hellinger Distance. | Eeshan Modak, Sivaraman Balakrishnan, Ananda Theertha Suresh |
| 2025 | AISTATS | General Staircase Mechanisms for Optimal Differential Privacy. | Alex Kulesza, Ananda Theertha Suresh, Yuyan Wang |
| 2025 | AISTATS | Rate of Model Collapse in Recursive Training. | Ananda Theertha Suresh, Andrew Thangaraj, Aditya Nanda Kishore Khandavally |
| 2025 | AISTATS | Efficient and Asymptotically Unbiased Constrained Decoding for Large Language Models. | Haotian Ye, Himanshu Jain, Chong You, Ananda Theertha Suresh, Haowei Lin, James Zou, Felix X. Yu |
| 2025 | ICLR | Block Verification Accelerates Speculative Decoding. | Ziteng Sun, Uri Mendlovic, Yaniv Leviathan, Asaf Aharoni, Jae Hun Ro, Ahmad Beirami, Ananda Theertha Suresh |
| 2025 | ICML | InfAlign: Inference-aware language model alignment. | Ananth Balashankar, Ziteng Sun, Jonathan Berant, Jacob Eisenstein, Michael Collins, Adrian Hutter, Jong Lee, Chirag Nagpal, Flavien Prost, Aradhana Sinha, Ananda Theertha Suresh, Ahmad Beirami |
| 2025 | ICML | Theoretical guarantees on the best-of-n alignment policy. | Ahmad Beirami, Alekh Agarwal, Jonathan Berant, Alexander Nicholas D'Amour, Jacob Eisenstein, Chirag Nagpal, Ananda Theertha Suresh |
| 2025 | ISIT | Coupling Without Communication and Drafter-Invariant Speculative Decoding. | Majid Daliri, Christopher Musco, Ananda Theertha Suresh |
| 2025 | UAI | Concept Forgetting via Label Annealing. | Subhodip Panda, Ananda Theertha Suresh, Atri Guha, Prathosh A. P. |
| 2024 | ICASSP | FedAQT: Accurate Quantized Training with Federated Learning. | Renkun Ni, Yonghui Xiao, Phoenix Meadowlark, Oleg Rybakov, Tom Goldstein, Ananda Theertha Suresh, Ignacio Lpez-Moreno, Mingqing Chen, Rajiv Mathews |
| 2024 | ICLR | The importance of feature preprocessing for differentially private linear optimization. | Ziteng Sun, Ananda Theertha Suresh, Aditya Krishna Menon |
| 2024 | ICML | Mean Estimation in the Add-Remove Model of Differential Privacy. | Alex Kulesza, Ananda Theertha Suresh, Yuyan Wang |
| 2024 | ISIT | Asymptotics of Language Model Alignment. | Joy Qiping Yang, Salman Salamatian, Ziteng Sun, Ananda Theertha Suresh, Ahmad Beirami |
| 2023 | AISTATS | Principled Approaches for Private Adaptation from a Public Source. | Raef Bassily, Mehryar Mohri, Ananda Theertha Suresh |
| 2023 | ICML | Subset-Based Instance Optimality in Private Estimation. | Travis Dick, Alex Kulesza, Ziteng Sun, Ananda Theertha Suresh |
| 2023 | ICML | Federated Heavy Hitter Recovery under Linear Sketching. | Adri Gascn, Peter Kairouz, Ziteng Sun, Ananda Theertha Suresh |
| 2023 | ICML | Algorithms for bounding contribution for histogram estimation under user-level privacy. | Yuhan Liu, Ananda Theertha Suresh, Wennan Zhu, Peter Kairouz, Marco Gruteser |
| 2023 | ISIT | Concentration Bounds for Discrete Distribution Estimation in KL Divergence. | Clment L. Canonne, Ziteng Sun, Ananda Theertha Suresh |
| 2022 | COLT | Robust Estimation for Random Graphs. | Jayadev Acharya, Ayush Jain, Gautam Kamath, Ananda Theertha Suresh, Huanyu Zhang |
| 2022 | ICLR | On the benefits of maximum likelihood estimation for Regression and Forecasting. | Pranjal Awasthi, Abhimanyu Das, Rajat Sen, Ananda Theertha Suresh |
| 2022 | ICML | The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning. | Wei-Ning Chen, Christopher A. Choquette-Choo, Peter Kairouz, Ananda Theertha Suresh |
| 2022 | ICML | Correlated Quantization for Distributed Mean Estimation and Optimization. | Ananda Theertha Suresh, Ziteng Sun, Jae Ro, Felix X. Yu |
| 2021 | AISTATS | Shuffled Model of Differential Privacy in Federated Learning. | Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi, Peter Kairouz, Ananda Theertha Suresh |
| 2021 | AISTATS | A Theory of Multiple-Source Adaptation with Limited Target Labeled Data. | Yishay Mansour, Mehryar Mohri, Jae Ro, Ananda Theertha Suresh, Ke Wu |
| 2021 | AISTATS | Wyner-Ziv Estimators: Efficient Distributed Mean Estimation with Side-Information. | Prathamesh Mayekar, Ananda Theertha Suresh, Himanshu Tyagi |
| 2021 | AISTATS | Robust hypothesis testing and distribution estimation in Hellinger distance. | Ananda Theertha Suresh |
| 2021 | CCS | On the Rnyi Differential Privacy of the Shuffle Model. | Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi, Ananda Theertha Suresh, Peter Kairouz |
| 2021 | ICML | Relative Deviation Margin Bounds. | Corinna Cortes, Mehryar Mohri, Ananda Theertha Suresh |
| 2021 | ICML | A Discriminative Technique for Multiple-Source Adaptation. | Corinna Cortes, Mehryar Mohri, Ananda Theertha Suresh, Ningshan Zhang |
| 2021 | Interspeech | Communication-Efficient Agnostic Federated Averaging. | Jae Ro, Mingqing Chen, Rajiv Mathews, Mehryar Mohri, Ananda Theertha Suresh |
| 2020 | ALT | Optimal multiclass overfitting by sequence reconstruction from Hamming queries. | Jayadev Acharya, Ananda Theertha Suresh |
| 2020 | ICML | FedBoost: A Communication-Efficient Algorithm for Federated Learning. | Jenny Hamer, Mehryar Mohri, Ananda Theertha Suresh |
| 2020 | ICML | SCAFFOLD: Stochastic Controlled Averaging for Federated Learning. | Sai Praneeth Karimireddy, Satyen Kale, Mehryar Mohri, Sashank J. Reddi, Sebastian U. Stich, Ananda Theertha Suresh |
| 2019 | CoNLL | Federated Learning of N-Gram Language Models. | Mingqing Chen, Ananda Theertha Suresh, Rajiv Mathews, Adeline Wong, Cyril Allauzen, Franoise Beaufays, Michael Riley |
| 2019 | ICASSP | West: Word Encoded Sequence Transducers. | Ehsan Variani, Ananda Theertha Suresh, Mitchel Weintraub |
| 2019 | ICML | Agnostic Federated Learning. | Mehryar Mohri, Gary Sivek, Ananda Theertha Suresh |
| 2019 | ISIT | Convergence of Chao Unseen Species Estimator. | Nived Rajaraman, Prafulla Chandra, Andrew Thangaraj, Ananda Theertha Suresh |
| 2017 | ASRU | Lattice rescoring strategies for long short term memory language models in speech recognition. | Shankar Kumar, Michael Nirschl, Daniel Niels Holtmann-Rice, Hank Liao, Ananda Theertha Suresh, Felix X. Yu |
| 2017 | COLT | Sample complexity of population recovery. | Yury Polyanskiy, Ananda Theertha Suresh, Yihong Wu |
| 2017 | ICML | A Unified Maximum Likelihood Approach for Estimating Symmetric Properties of Discrete Distributions. | Jayadev Acharya, Hirakendu Das, Alon Orlitsky, Ananda Theertha Suresh |
| 2017 | ICML | Maximum Selection and Ranking under Noisy Comparisons. | Moein Falahatgar, Alon Orlitsky, Venkatadheeraj Pichapati, Ananda Theertha Suresh |
| 2017 | ICML | Distributed Mean Estimation with Limited Communication. | Ananda Theertha Suresh, Felix X. Yu, Sanjiv Kumar, H. Brendan McMahan |
| 2017 | ISIT | Minimax risk for missing mass estimation. | Nikhilesh Rajaraman, Andrew Thangaraj, Ananda Theertha Suresh |
| 2016 | ISIT | Estimating the number of defectives with group testing. | Moein Falahatgar, Ashkan Jafarpour, Alon Orlitsky, Venkatadheeraj Pichapati, Ananda Theertha Suresh |
| 2016 | ISIT | Learning Markov distributions: Does estimation trump compression? | Moein Falahatgar, Alon Orlitsky, Venkatadheeraj Pichapati, Ananda Theertha Suresh |
| 2015 | AISTATS | Sparse Solutions to Nonnegative Linear Systems and Applications. | Aditya Bhaskara, Ananda Theertha Suresh, Morteza Zadimoghaddam |
| 2015 | COLT | Faster Algorithms for Testing under Conditional Sampling. | Moein Falahatgar, Ashkan Jafarpour, Alon Orlitsky, Venkatadheeraj Pichapati, Ananda Theertha Suresh |
| 2015 | COLT | On Learning Distributions from their Samples. | Sudeep Kamath, Alon Orlitsky, Dheeraj Pichapati, Ananda Theertha Suresh |
| 2015 | ISIT | Universal compression of power-law distributions. | Moein Falahatgar, Ashkan Jafarpour, Alon Orlitsky, Venkatadheeraj Pichapati, Ananda Theertha Suresh |
| 2015 | ISIT | Automata and graph compression. | Mehryar Mohri, Michael Riley, Ananda Theertha Suresh |
| 2015 | SODA | The Complexity of Estimating Rnyi Entropy. | Jayadev Acharya, Alon Orlitsky, Ananda Theertha Suresh, Himanshu Tyagi |
| 2014 | ISIT | Sorting with adversarial comparators and application to density estimation. | Jayadev Acharya, Ashkan Jafarpour, Alon Orlitsky, Ananda Theertha Suresh |
| 2014 | ISIT | Efficient compression of monotone and m-modal distributions. | Jayadev Acharya, Ashkan Jafarpour, Alon Orlitsky, Ananda Theertha Suresh |
| 2014 | ISIT | Poissonization and universal compression of envelope classes. | Jayadev Acharya, Ashkan Jafarpour, Alon Orlitsky, Ananda Theertha Suresh |
| 2014 | ISIT | Sublinear algorithms for outlier detection and generalized closeness testing. | Jayadev Acharya, Ashkan Jafarpour, Alon Orlitsky, Ananda Theertha Suresh |
| 2013 | AISTATS | A Competitive Test for Uniformity of Monotone Distributions. | Jayadev Acharya, Ashkan Jafarpour, Alon Orlitsky, Ananda Theertha Suresh |
| 2013 | COLT | Optimal Probability Estimation with Applications to Prediction and Classification. | Jayadev Acharya, Ashkan Jafarpour, Alon Orlitsky, Ananda Theertha Suresh |
| 2013 | ISIT | Tight bounds for universal compression of large alphabets. | Jayadev Acharya, Hirakendu Das, Ashkan Jafarpour, Alon Orlitsky, Ananda Theertha Suresh |
| 2012 | ISIT | On the query computation and verification of functions. | Hirakendu Das, Ashkan Jafarpour, Alon Orlitsky, Shengjun Pan, Ananda Theertha Suresh |
| 2010 | ITW | Strong secrecy for erasure wiretap channels. | Ananda Theertha Suresh, Arunkumar Subramanian, Andrew Thangaraj, Matthieu R. Bloch, Steven W. McLaughlin |