Inderjit Dhillon
Professor
Develops scalable machine learning algorithms that exploit problem structure, including matrix and tensor methods, extreme classification and large-scale data analysis.
Inderjit Dhillon's lab at UT Austin works on recognition, detection & segmentation and visualization & visual analytics. 24 papers since 2023, 18 at top venues, mostly ICLR and NeurIPS. 20 alumni, most often to Amazon and Google. Applications close .
At a glance
- papers, 2023–2026
- 6/ year
- at T1 venues
- 75%
- PhD students
- 0
- MS students
- 0
- alumni listed
- 20
Papers by yearfrom DBLP, 2023–2026
- 4 papers2026 · T1 2 · collecting
- 7 papers2025 · T1 7
- 8 papers2024 · T1 5
- 5 papers2023 · T1 4
T1 venuesOtherVenues: ICLR, NeurIPS, ICML, AISTATS, CVPR
Research focuspaper titles that use each topic's words
- Recognition, detection & segmentation0 papers
- Visualization & visual analytics0 papers
- scalable machine0 papers
- exploit0 papers
- tensor methods0 papers
Paper list
From DBLP.
20264 papers
- Trans. Mach. Learn. Res.LLM-guided Hierarchical Search for End-to-end Reasoning Intensive Retrieval (opens in a new tab)
- WACVPyramidal Spectrum: Frequency-based Hierarchically Vector Quantized VAE for Videos (opens in a new tab)
- CVPR (T1)PyraTok: Language-Aligned Pyramidal Tokenizer for Video Understanding and Generation (opens in a new tab)
- ICLR (T1)The Art of Scaling Reinforcement Learning Compute for LLMs (opens in a new tab)
20257 papers
- ICML (T1)Geometric Median (GM) Matching for Robust k-Subset Selection from Noisy Data (opens in a new tab)
- ICLR (T1)Large Language Models are Interpretable Learners (opens in a new tab)
- ICML (T1)LASER: Attention with Exponential Transformation (opens in a new tab)
- ICLR (T1)LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization (opens in a new tab)
- KDD (T1)Matryoshka Model Learning for Improved Elastic Student Models (opens in a new tab)
- ICML (T1)Retraining with Predicted Hard Labels Provably Increases Model Accuracy (opens in a new tab)
- NeurIPS (T1)Scalable In-context Ranking with Generative Models (opens in a new tab)
20248 papers
- SIAM J. Optim.Accelerating Primal-Dual Methods for Regularized Markov Decision Processes (opens in a new tab)
- Findings of ACLAutomatic Engineering of Long Prompts (opens in a new tab)
- ICLR (T1)Combining Axes Preconditioners through Kronecker Approximation for Deep Learning (opens in a new tab)
- ICLR (T1)Dual-Encoders for Extreme Multi-label Classification (opens in a new tab)
- Trans. Mach. Learn. Res.EHI: End-to-end Learning of Hierarchical Index for Efficient Dense Retrieval (opens in a new tab)
- NeurIPS (T1)MatFormer: Nested Transformer for Elastic Inference (opens in a new tab)
- EMNLP (T1)PRISM: A New Lens for Improved Color Understanding (opens in a new tab)
- ICLR (T1)Two-stage LLM Fine-tuning with Less Specialization and More Generalization (opens in a new tab)
20235 papers
- NeurIPS (T1)A Computationally Efficient Sparsified Online Newton Method (opens in a new tab)
- SIAM J. Sci. Comput.Approximate Newton Policy Gradient Algorithms (opens in a new tab)
- NeurIPS (T1)Block Low-Rank Preconditioner with Shared Basis for Stochastic Optimization (opens in a new tab)
- WWW (T1)FINGER: Fast Inference for Graph-based Approximate Nearest Neighbor Search (opens in a new tab)
- AISTATS (T1)Sample Efficiency of Data Augmentation Consistency Regularization (opens in a new tab)
Where alumni went20 listed, 53% to industry
Industry 8Academia 7
Most often to
- Amazon
- Etsy Inc.
Also to
- Boston University
- Caltech
- MIT
Apply to UT AustinFall 2027
Computer Science PhD
- Round
- Single round (Dec 15)
- Opens
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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