Ashwin Pananjady
Assistant Professor
Studies statistics, optimization and information theory for high-dimensional data in machine learning.
Ashwin Pananjady's lab at Georgia Tech works on learning theory & optimization and signal processing & information theory. 19 papers since 2023, 6 at top venues, mostly Allerton and ALT. 3 PhD students. 9 alumni, most often to Amazon and IBM. Applications close .
At a glance
- papers, 2023–2026
- 5/ year
- at T1 venues
- 32%
- PhD students
- 3
- MS students
- 0
- alumni listed
- 9
Papers by yearfrom the lab homepage, 2023–2026
- 3 papers2026 · T1 0 · collecting
- 5 papers2025 · T1 1
- 6 papers2024 · T1 2
- 5 papers2023 · T1 3
T1 venuesOtherVenues: Allerton, ALT, COLT, EC, JMLR
Research focuspaper titles that use each topic's words
- Learning theory & optimization5 papers
- Signal processing & information theory0 papers
- high-dimensional data0 papers
- information theory0 papers
- high-dimensional0 papers
Paper list
From the lab homepage.
20263 papers
- SIIMSAccurate, provable, and fast polychromatic tomographic reconstruction: A variational inequality approach (opens in a new tab)
- ALTPredictive inference for time series: why is split conformal effective despite temporal dependence? (opens in a new tab)
- IEEE ACIIToward individual-level calibration in affect recognition with perceptual adjustment queries (opens in a new tab)
20255 papers
- TAC (T1)A dual accelerated method for online distributed averaging: From consensus to distributed policy evaluation (opens in a new tab)
- Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully3D) , superseded by journal versionAccurate, provable, and fast nonlinear tomographic reconstruction: A variational inequality approach (opens in a new tab)
- IEEE Transactions on Information TheoryComputationally efficient reductions between some statistical models (opens in a new tab)
- COLT WorkshopEstimating stationary mass, frequency by frequency
- Mathematical ProgrammingHyperparameter tuning via trajectory predictions: Stochastic prox-linear methods in matrix sensing (opens in a new tab)
20246 papers
- Information and Inference: A Journal of the IMAAlternating minimization for generalized rank one matrix sensing: Sharp predictions from a random initialization (opens in a new tab)
- IEEE Transactions on Signal ProcessingDo algorithms and barriers for sparse principal component analysis extend to other structured settings? (opens in a new tab)
- JMLR (T1)Just Wing It: Near-optimal estimation of missing mass in a Markovian sequence (opens in a new tab)
- AllertonLearning the eye of the beholder: Statistical modeling and estimation for personalized color perception (opens in a new tab)
- UAI (T1)One shot inverse reinforcement learning for stochastic linear bandits (opens in a new tab)
- Mathematical Statistics and LearningOptimal and instance-dependent guarantees for Markovian linear stochastic approximation (opens in a new tab)
20235 papers
- SIMODSAccelerated and instance-optimal policy evaluation with linear function approximation (opens in a new tab)
- EC (T1)Modeling and correcting bias in sequential evaluation (opens in a new tab)
- NeurIPS (T1)Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning (opens in a new tab)
- Annals of StatisticsRunner-up, Best Paper Prize for Young Researchers in Continuous Optimization, Mathematical Optimization Society
- COLT (T1)Sharp analysis of EM for learning mixtures of pairwise differences (opens in a new tab)
Where alumni went9 listed, 33% to industry
Industry 2Academia 4
Most often to
- Amazon
- IBM
Also to
- Georgia Tech
- Stanford University
- USC
Apply to Georgia TechFall 2027
Georgia Tech Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- optional
- English
- TOEFL/IELTS
- Fee
- See program page
Not yet confirmed for this intake.
Similar labsnearest by research summary
- USMIT
Tamara Broderick
- Trustworthy & safe ML
- USMichigan
Silviu Pitis
- Reinforcement learning
- GBEdinburgh
Timothy Hospedales
- Efficient training & inference
- USUCLA
Baharan Mirzasoleiman
- Trustworthy & safe ML
- CNPeking
Yisen Wang
- Trustworthy & safe ML
- USNYU
Juan C. Perdomo
0 T1
Your notes
Save this lab to keep notes.
Data
Checked against the lab homepage.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
Georgia Techcloses