Nishanth Dikkala

According to our database, Nishanth Dikkala authored at least 29 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Michelangelo: Long Context Evaluations Beyond Haystacks via Latent Structure Queries.

Kiran Vodrahalli, Santiago Ontanon, Nilesh Tripuraneni, Kelvin Xu, Sanil Jain, Rakesh Shivanna, Jeffrey Hui, Nishanth Dikkala, Mehran Kazemi, Bahare Fatemi, Rohan Anil, Ethan Dyer, Siamak Shakeri, Roopali Vij, Harsh Mehta, Vinay V. Ramasesh, Quoc Le, Ed H. Chi, Yifeng Lu, Orhan Firat, Angeliki Lazaridou, Jean-Baptiste Lespiau, Nithya Attaluri, Kate Olszewska

CoRR, 2024

Causal Language Modeling Can Elicit Search and Reasoning Capabilities on Logic Puzzles.

Kulin Shah, Nishanth Dikkala, Xin Wang, Rina Panigrahy

CoRR, 2024

ReMI: A Dataset for Reasoning with Multiple Images.

Mehran Kazemi, Nishanth Dikkala, Ankit Anand, Petar Devic, Ishita Dasgupta, Fangyu Liu, Bahare Fatemi, Pranjal Awasthi, Dee Guo, Sreenivas Gollapudi, Ahmed Qureshi

CoRR, 2024

Learning Neural Networks with Sparse Activations.

Pranjal Awasthi, Nishanth Dikkala, Pritish Kamath, Raghu Meka

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023

The Power of External Memory in Increasing Predictive Model Capacity.

Cenk Baykal, Dylan J. Cutler, Nishanth Dikkala, Nikhil Ghosh, Rina Panigrahy, Xin Wang

CoRR, 2023

Alternating Updates for Efficient Transformers.

Cenk Baykal, Dylan J. Cutler, Nishanth Dikkala, Nikhil Ghosh, Rina Panigrahy, Xin Wang

CoRR, 2023

Alternating Updates for Efficient Transformers.

Cenk Baykal, Dylan J. Cutler, Nishanth Dikkala, Nikhil Ghosh, Rina Panigrahy, Xin Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On the Benefits of Learning to Route in Mixture-of-Experts Models.

Nishanth Dikkala, Nikhil Ghosh, Raghu Meka, Rina Panigrahy, Nikhil Vyas, Xin Wang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Sketching based Representations for Robust Image Classification with Provable Guarantees.

Nishanth Dikkala, Sankeerth Rao Karingula, Raghu Meka, Jelani Nelson, Rina Panigrahy, Xin Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Theoretical View on Sparsely Activated Networks.

Cenk Baykal, Nishanth Dikkala, Rina Panigrahy, Cyrus Rashtchian, Xin Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Do More Negative Samples Necessarily Hurt In Contrastive Learning?

Pranjal Awasthi, Nishanth Dikkala, Pritish Kamath

Proceedings of the International Conference on Machine Learning, 2022

2021

For Manifold Learning, Deep Neural Networks can be Locality Sensitive Hash Functions.

Nishanth Dikkala, Gal Kaplun, Rina Panigrahy

CoRR, 2021

Learning Ising models from one or multiple samples.

Yuval Dagan, Constantinos Daskalakis, Nishanth Dikkala, Anthimos Vardis Kandiros

Proceedings of the STOC '21: 53rd Annual ACM SIGACT Symposium on Theory of Computing, 2021

Statistical Estimation from Dependent Data.

Anthimos Vardis Kandiros, Yuval Dagan, Nishanth Dikkala, Surbhi Goel, Constantinos Daskalakis

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Estimating Ising Models from One Sample.

Yuval Dagan, Constantinos Daskalakis, Nishanth Dikkala, Anthimos Vardis Kandiros

CoRR, 2020

Minimax Estimation of Conditional Moment Models.

Nishanth Dikkala, Greg Lewis, Lester Mackey, Vasilis Syrgkanis

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Logistic regression with peer-group effects via inference in higher-order Ising models.

Constantinos Daskalakis, Nishanth Dikkala, Ioannis Panageas

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Regression from dependent observations.

Constantinos Daskalakis, Nishanth Dikkala, Ioannis Panageas

Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing, 2019

From Soft Classifiers to Hard Decisions: How fair can we be?

Ran Canetti, Aloni Cohen, Nishanth Dikkala, Govind Ramnarayan, Sarah Scheffler, Adam D. Smith

Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

Learning from Weakly Dependent Data under Dobrushin's Condition.

Yuval Dagan, Constantinos Daskalakis, Nishanth Dikkala, Siddhartha Jayanti

Proceedings of the Conference on Learning Theory, 2019

2018

HOGWILD!-Gibbs can be PanAccurate.

Constantinos Daskalakis, Nishanth Dikkala, Siddhartha Jayanti

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Testing Symmetric Markov Chains From a Single Trajectory.

Constantinos Daskalakis, Nishanth Dikkala, Nick Gravin

Proceedings of the Conference On Learning Theory, 2018

2017

Testing Ising Models.

Constantinos Daskalakis, Nishanth Dikkala, Gautam Kamath

Electron. Colloquium Comput. Complex., 2017

Testing from One Sample: Is the casino really using a riffle shuffle?

Constantinos Daskalakis, Nishanth Dikkala, Nick Gravin

CoRR, 2017

Concentration of Multilinear Functions of the Ising Model with Applications to Network Data.

Constantinos Daskalakis, Nishanth Dikkala, Gautam Kamath

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Tight Hardness Results for Maximum Weight Rectangles.

Arturs Backurs, Nishanth Dikkala, Christos Tzamos

Proceedings of the 43rd International Colloquium on Automata, Languages, and Programming, 2016

2015

Effect of Strategic Grading and Early Offers in Matching Markets.

Hedyeh Beyhaghi, Nishanth Dikkala, Éva Tardos

CoRR, 2015

Brief Announcement: Effect of Strategic Grading and Early Offers in Matching Markets.

Hedyeh Beyhaghi, Nishanth Dikkala, Éva Tardos

Proceedings of the Algorithmic Game Theory - 8th International Symposium, 2015

2013

Can Credit Increase Revenue?

Nishanth Dikkala, Éva Tardos

Proceedings of the Web and Internet Economics - 9th International Conference, 2013