Debarghya Ghoshdastidar
22 papers · 2014–2026 · 10 conferences · across top CS/AI conferences
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Conferences
NIPS (6)
AISTATS (5)
ICLR (3)
AAAI (2)
ALT (1)
COLT (1)
CVPR (1)
ICML (1)
JMLR (1)
UAI (1)
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Keywords
representation learning
(4)
tensor decomposition
(3)
kernel methods
(3)
spectral clustering
(3)
self-supervised learning
(2)
contrastive learning
(2)
generalization bound
(2)
hypergraph partitioning
(2)
comparison-based learning
(2)
tensor method
(2)
principal component analysis
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ridge regression
(1)
statistical inference
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hierarchical clustering
(1)
graph analysis
(1)
image segmentation
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learning theory
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transductive learning
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two-sample test
(1)
computer vision
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Papers
PAC-Bayesian Analysis of the Surrogate Relation between Joint Embedding and Supervised Downstream Losses
ALT 2026
Exact Certification of (Graph) Neural Networks Against Label Poisoning
ICLR 2025
Infinite Width Limits of Self Supervised Neural Networks
AISTATS 2025
When Can We Approximate Wide Contrastive Models with Neural Tangent Kernels and Principal Component Analysis?
AAAI 2025
Non-parametric Representation Learning with Kernels
AAAI 2024
Explaining Kernel Clustering via Decision Trees
ICLR 2024
Improved Representation Learning Through Tensorized Autoencoders
AISTATS 2023
Graphon based Clustering and Testing of Networks: Algorithms and Theory
ICLR 2022
Interpolation and Regularization for Causal Learning
NIPS 2022
Causal forecasting: generalization bounds for autoregressive models
UAI 2022
Recovery Guarantees for Kernel-based Clustering under Non-parametric Mixture Models
AISTATS 2021
Learning Theory Can (Sometimes) Explain Generalisation in Graph Neural Networks
NIPS 2021
Near-Optimal Comparison Based Clustering
NIPS 2020
On the optimality of kernels for high-dimensional clustering
AISTATS 2020
Foundations of Comparison-Based Hierarchical Clustering
NIPS 2019
Practical Methods for Graph Two-Sample Testing
NIPS 2018
Two-Sample Tests for Large Random Graphs Using Network Statistics
COLT 2017
Uniform Hypergraph Partitioning: Provable Tensor Methods and Sampling Techniques
JMLR 2017
Comparison-Based Nearest Neighbor Search
AISTATS 2017
A Provable Generalized Tensor Spectral Method for Uniform Hypergraph Partitioning
ICML 2015
Spectral Clustering with Jensen-type Kernels and their Multi-point Extensions
CVPR 2014
Consistency of Spectral Partitioning of Uniform Hypergraphs under Planted Partition Model
NIPS 2014