Nishanth Dikkala
17 papers · 2017–2025 · 7 conferences · across top CS/AI conferences
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(17)
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COLT (3)
ICML (2)
ACL (1)
AISTATS (1)
EMNLP (1)
ICLR (1)
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Research topics
Keywords
large language model
(3)
mixture of expert
(2)
reasoning evaluation
(2)
polynomial function
(2)
dependent datum
(2)
ising model
(2)
transformer model
(2)
reasoning benchmark
(2)
representation learning
(2)
statistical learning theory
(2)
logistic regression
(2)
multi-modal learning
(1)
contrastive learning
(1)
visual reasoning
(1)
sparse logistic regression
(1)
parameter estimation
(1)
image classification
(1)
network modeling
(1)
computational efficiency
(1)
theoretical analysis
(1)
Papers
Reasoning with Latent Thoughts: On the Power of Looped Transformers
ICLR 2025
BIG-Bench Extra Hard
ACL 2025
Learning Neural Networks with Sparse Activations
COLT 2024
ReMI: A Dataset for Reasoning with Multiple Images
NIPS 2024
Causal language modeling can elicit search and reasoning capabilities on logic puzzles
NIPS 2024
On the Benefits of Learning to Route in Mixture-of-Experts Models
EMNLP 2023
Alternating Updates for Efficient Transformers
NIPS 2023
Do More Negative Samples Necessarily Hurt In Contrastive Learning?
ICML 2022
Sketching based Representations for Robust Image Classification with Provable Guarantees
NIPS 2022
A Theoretical View on Sparsely Activated Networks
NIPS 2022
Statistical Estimation from Dependent Data
ICML 2021
Logistic regression with peer-group effects via inference in higher-order Ising models
AISTATS 2020
Minimax Estimation of Conditional Moment Models
NIPS 2020
Learning from Weakly Dependent Data under Dobrushinβs Condition
COLT 2019
Testing Symmetric Markov Chains From a Single Trajectory
COLT 2018
HOGWILD!-Gibbs can be PanAccurate
NIPS 2018
Concentration of Multilinear Functions of the Ising Model with Applications to Network Data
NIPS 2017