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ORCIDNishanth Dikkala
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2020 – today
- 2024
[c20]Pranjal Awasthi, Nishanth Dikkala, Pritish Kamath, Raghu Meka:
Learning Neural Networks with Sparse Activations. COLT 2024: 406-425- [i23]Mehran Kazemi, Nishanth Dikkala, Ankit Anand, Petar Devic, Ishita Dasgupta, Fangyu Liu, Bahare Fatemi, Pranjal Awasthi, Dee Guo, Sreenivas Gollapudi, Ahmed Qureshi:
ReMI: A Dataset for Reasoning with Multiple Images. CoRR abs/2406.09175 (2024) - [i22]Pranjal Awasthi, Nishanth Dikkala, Pritish Kamath, Raghu Meka:
Learning Neural Networks with Sparse Activations. CoRR abs/2406.17989 (2024) - [i21]Kulin Shah, Nishanth Dikkala, Xin Wang, Rina Panigrahy:
Causal Language Modeling Can Elicit Search and Reasoning Capabilities on Logic Puzzles. CoRR abs/2409.10502 (2024) - [i20]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:
Michelangelo: Long Context Evaluations Beyond Haystacks via Latent Structure Queries. CoRR abs/2409.12640 (2024) - 2023
- [c19]Nishanth Dikkala, Nikhil Ghosh, Raghu Meka, Rina Panigrahy, Nikhil Vyas, Xin Wang:
On the Benefits of Learning to Route in Mixture-of-Experts Models. EMNLP 2023: 9376-9396 - [c18]Cenk Baykal, Dylan J. Cutler, Nishanth Dikkala, Nikhil Ghosh, Rina Panigrahy, Xin Wang:
Alternating Updates for Efficient Transformers. NeurIPS 2023 - [i19]Cenk Baykal, Dylan J. Cutler, Nishanth Dikkala, Nikhil Ghosh, Rina Panigrahy, Xin Wang:
Alternating Updates for Efficient Transformers. CoRR abs/2301.13310 (2023) - [i18]Cenk Baykal, Dylan J. Cutler, Nishanth Dikkala, Nikhil Ghosh, Rina Panigrahy, Xin Wang:
The Power of External Memory in Increasing Predictive Model Capacity. CoRR abs/2302.00003 (2023) - 2022
- [c17]Pranjal Awasthi, Nishanth Dikkala, Pritish Kamath:
Do More Negative Samples Necessarily Hurt In Contrastive Learning? ICML 2022: 1101-1116 - [c16]Cenk Baykal, Nishanth Dikkala, Rina Panigrahy, Cyrus Rashtchian, Xin Wang:
A Theoretical View on Sparsely Activated Networks. NeurIPS 2022 - [c15]Nishanth Dikkala, Sankeerth Rao Karingula, Raghu Meka, Jelani Nelson, Rina Panigrahy, Xin Wang:
Sketching based Representations for Robust Image Classification with Provable Guarantees. NeurIPS 2022 - [i17]Pranjal Awasthi, Nishanth Dikkala, Pritish Kamath:
Do More Negative Samples Necessarily Hurt in Contrastive Learning? CoRR abs/2205.01789 (2022) - [i16]Cenk Baykal, Nishanth Dikkala, Rina Panigrahy, Cyrus Rashtchian, Xin Wang:
A Theoretical View on Sparsely Activated Networks. CoRR abs/2208.04461 (2022) - 2021
- [c14]Anthimos Vardis Kandiros, Yuval Dagan, Nishanth Dikkala, Surbhi Goel, Constantinos Daskalakis:
Statistical Estimation from Dependent Data. ICML 2021: 5269-5278 - [c13]Yuval Dagan
, Constantinos Daskalakis, Nishanth Dikkala, Anthimos Vardis Kandiros:
Learning Ising models from one or multiple samples. STOC 2021: 161-168 - [i15]Nishanth Dikkala, Gal Kaplun, Rina Panigrahy:
For Manifold Learning, Deep Neural Networks can be Locality Sensitive Hash Functions. CoRR abs/2103.06875 (2021) - [i14]Yuval Dagan, Constantinos Daskalakis, Nishanth Dikkala, Surbhi Goel, Anthimos Vardis Kandiros:
Statistical Estimation from Dependent Data. CoRR abs/2107.09773 (2021) - 2020
- [c12]Constantinos Daskalakis, Nishanth Dikkala, Ioannis Panageas:
Logistic regression with peer-group effects via inference in higher-order Ising models. AISTATS 2020: 3653-3663 - [c11]Nishanth Dikkala, Greg Lewis, Lester Mackey, Vasilis Syrgkanis:
Minimax Estimation of Conditional Moment Models. NeurIPS 2020 - [i13]Constantinos Daskalakis, Nishanth Dikkala, Ioannis Panageas:
Logistic-Regression with peer-group effects via inference in higher order Ising models. CoRR abs/2003.08259 (2020) - [i12]Yuval Dagan, Constantinos Daskalakis, Nishanth Dikkala, Anthimos Vardis Kandiros:
Estimating Ising Models from One Sample. CoRR abs/2004.09370 (2020) - [i11]Nishanth Dikkala, Greg Lewis, Lester Mackey, Vasilis Syrgkanis:
Minimax Estimation of Conditional Moment Models. CoRR abs/2006.07201 (2020)
2010 – 2019
- 2019
- [j1]Constantinos Daskalakis, Nishanth Dikkala, Gautam Kamath:
Testing Ising Models. IEEE Trans. Inf. Theory 65(11): 6829-6852 (2019) - [c10]Yuval Dagan, Constantinos Daskalakis, Nishanth Dikkala, Siddhartha Jayanti:
Learning from Weakly Dependent Data under Dobrushin's Condition. COLT 2019: 914-928 - [c9]Ran Canetti, Aloni Cohen, Nishanth Dikkala, Govind Ramnarayan, Sarah Scheffler, Adam D. Smith:
From Soft Classifiers to Hard Decisions: How fair can we be? FAT 2019: 309-318 - [c8]Constantinos Daskalakis, Nishanth Dikkala, Ioannis Panageas:
Regression from dependent observations. STOC 2019: 881-889 - [i10]Constantinos Daskalakis, Nishanth Dikkala, Ioannis Panageas:
Regression from Dependent Observations. CoRR abs/1905.03353 (2019) - [i9]Yuval Dagan, Constantinos Daskalakis, Nishanth Dikkala, Siddhartha Jayanti:
Learning from weakly dependent data under Dobrushin's condition. CoRR abs/1906.09247 (2019) - 2018
- [c7]Constantinos Daskalakis, Nishanth Dikkala, Nick Gravin:
Testing Symmetric Markov Chains From a Single Trajectory. COLT 2018: 385-409 - [c6]Constantinos Daskalakis, Nishanth Dikkala, Siddhartha Jayanti:
HOGWILD!-Gibbs can be PanAccurate. NeurIPS 2018: 32-41 - [c5]Constantinos Daskalakis, Nishanth Dikkala, Gautam Kamath:
Testing Ising Models. SODA 2018: 1989-2007 - [i8]Ran Canetti, Aloni Cohen, Nishanth Dikkala, Govind Ramnarayan, Sarah Scheffler, Adam D. Smith:
From Soft Classifiers to Hard Decisions: How fair can we be? CoRR abs/1810.02003 (2018) - [i7]Constantinos Daskalakis, Nishanth Dikkala, Siddhartha Jayanti:
HOGWILD!-Gibbs can be PanAccurate. CoRR abs/1811.10581 (2018) - 2017
- [c4]Constantinos Daskalakis, Nishanth Dikkala, Gautam Kamath:
Concentration of Multilinear Functions of the Ising Model with Applications to Network Data. NIPS 2017: 12-23 - [i6]Constantinos Daskalakis, Nishanth Dikkala, Nick Gravin:
Testing from One Sample: Is the casino really using a riffle shuffle? CoRR abs/1704.06850 (2017) - [i5]Constantinos Daskalakis, Nishanth Dikkala, Gautam Kamath:
Concentration of Multilinear Functions of the Ising Model with Applications to Network Data. CoRR abs/1710.04170 (2017) - [i4]Constantinos Daskalakis, Nishanth Dikkala, Gautam Kamath:
Testing Ising Models. Electron. Colloquium Comput. Complex. TR17 (2017) - 2016
- [c3]Arturs Backurs, Nishanth Dikkala, Christos Tzamos:
Tight Hardness Results for Maximum Weight Rectangles. ICALP 2016: 81:1-81:13 - [i3]Arturs Backurs, Nishanth Dikkala, Christos Tzamos:
Tight Hardness Results for Maximum Weight Rectangles. CoRR abs/1602.05837 (2016) - [i2]Constantinos Daskalakis, Nishanth Dikkala, Gautam Kamath:
Testing Ising Models. CoRR abs/1612.03147 (2016) - 2015
- [c2]Hedyeh Beyhaghi, Nishanth Dikkala, Éva Tardos:
Brief Announcement: Effect of Strategic Grading and Early Offers in Matching Markets. SAGT 2015: 300-302 - [i1]Hedyeh Beyhaghi, Nishanth Dikkala, Éva Tardos:
Effect of Strategic Grading and Early Offers in Matching Markets. CoRR abs/1507.02718 (2015) - 2013
- [c1]Nishanth Dikkala, Éva Tardos:
Can Credit Increase Revenue? WINE 2013: 121-133
Coauthor Index
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