Statistics and Machine Learning Working Group: List of Past Talks

26 Apr 2024 Some recent results on the mixture NPMLE Tudor Manole

19 Apr 2024 Geometry and analytic properties of the sliced Wasserstein space Sangmin Park

12 Apr 2024 Optimal Conditional Inference in Adaptive Experiments James Leiner

05 Apr 2024 Multivariate Symmetry: Distribution-Free Testing via Optimal Transport Gonzalo Mena

29 Mar 2024 Model Selection Aggregation Siva Balakrishnan

22 Mar 2024 Distribution-uniform strong laws of large numbers Ian Waudby-Smith

15 Mar 2024 Active statistical inference Ben Chugg

01 Mar 2024 When are Offline Multi-Agent Games Solvable? Simon Du

23 Feb 2024 Distributions of approximately polynomial functions of high-dimensional data Kevin Han Huang

16 Feb 2024 Performative Prediction: A New Approach to Social Science? Jamie Michelson

09 Feb 2024 A 'robust' framework for statistical inference Arun Kuchibhotla

02 Feb 2024 Statistical inference for model parameters in stochastic gradient descent Selina Carter

26 Jan 2024 Domain Generalization with Adversarially Robust Learning: Identification, Estimation, and Uncertainty Quantification Zijian Guo (faculty visitor from Rutgers)

19 Jan 2024 Merging Uncertainty Sets Via Majority Vote Aaditya Ramdas

30 Nov 2023 Minimax optimal testing by classification Lucas Kania

16 Nov 2023 Inference for Projection Parameters in Linear Regression: beyond d=o(n^{1/2}) Woonyoung Chang

09 Nov 2023 Spectral Regularized Kernel Two-Sample Tests Bharath Sriperumbudur (Faculty visitor from Penn State Statistics)

02 Nov 2023 Beyond Neyman Pearson with e-values Neil Xu

26 Oct 2023 Isotonic Distributional Regression Richard Zhu

12 Oct 2023 Post-selection Inference for Conformal Prediction: Trading off Coverage for Precision Siddhaarth

05 Oct 2023 Representer Point Selection for Explaining Deep Neural Networks Alex Shen

28 Sep 2023 Some topics on Gaussian and subGaussian SPRTs Hongjian Wang

14 Sep 2023 Principal-agent hypothesis testing Ian Waudby-Smith

07 Sep 2023 Empirical risk minimization and complexity of dynamical models James Carzon

12 Jul 2023 Empirical Optimal Transport: Convergence Rates and Lower Complexity Adaptation Shayan Hundrieser (Göttingen)

01 May 2023 Likelihood-free hypothesis testing James Carzon

26 Apr 2023 An optimization-based approach to uncertainty quantification Kayla Scharfstein

17 Apr 2023 Sequential change detection via backward confidence sequences Shubhanshu Shekar

10 Apr 2023 A New Approach to Tests and Confidence Bands for Distribution Functions Siddhaarth Sarkar

05 Apr 2023 High-dimensional Berry-Esseen Bound for m-Dependent Random Samples Heejong Bong

29 Mar 2023 Multi-group agnostic learning via sleeping experts and adaptive hedging Chirag Gupta

20 Mar 2023 Sequential Kernelized Independence Testing Sasha Podkopaev

13 Mar 2023 Permutation tests for conditional independence Yuchen Chen

27 Feb 2023 A short tutorial on negative dependence, with applications to multiple testing Aaditya Ramdas

20 Feb 2023 Locally Simultaneous Inference Tijana Zrnic (Berkeley)

13 Feb 2023 Median-of-Means Beomjo Park

06 Feb 2023 Higher-order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes Diego Martinez-Taboada

30 Jan 2023 Continuous Prediction with Experts’ Advice Ben Chugg

15 Nov 2022 Efficient Incentive-Compatible Forecasting Competitions YJ Choe

08 Nov 2022 Multivariate Nonparametric Regression by the Method of Sieves Tianyu Zhang

01 Nov 2022 Assumption-lean inference for generalised linear model parameters (Vansteelandt and Dukes) James Leiner

25 Oct 2022 On nonparametric tests of positivity/monotonicity/convexity Kenta Takatsu

11 Oct 2022 Asymptotics of cross-validation Nick Kissel

04 Oct 2022 A regret-variance tradeoff in online learning Neil Xu

27 Sep 2022 Minimax estimation of nonsmooth functionals Tudor Manole

20 Sep 2022 E-backtesting Ruodu Wang

28 Apr 2022 Divided Differences, Falling Factorials, and Discrete Splines (Another Look at Trend Filtering and Related Problems) Part 2 Ryan Tibshirani

14 Apr 2022 The Statistical Complexity of Interactive Decision Making Ojash Neopane

07 Apr 2022 Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization Yusha Liu

31 Mar 2022 Against theory-motivated data collection in sciences Marina Dubova

24 Mar 2022 Estimating functions of bounded variation with scattered data Addison Hu

24 Feb 2022 Data blurring: sample splitting a single sample James Leiner

17 Feb 2022 Post-selection inference for e-value based confidence intervals Neil Xu

10 Feb 2002 Catoni-style confidence sequences for heavy-tailed mean estimation. Hongjian Wang

09 Dec 2021 Schrödinger bridge generative models Andrew Warren

18 Nov 2021 Fully-Adaptive Composition in Differential Privacy Justin Whitehouse

11 Nov 2021 Tree-Form Sequential Decision Making Gabriele Farina

04 Nov 2021 Markdown Pricing Under Unknown Demand Model Su Jia

28 Oct 2021 Variable Selection and Forecasting in High Dimensional Linear Regressions with Parameter Instability Mahrad Sharifvaghefi

21 Oct 2021 Strategic hypothesis testing and making forecasts that are calibrated for arbitrary data sequences Chirag Gupta

14 Oct 2021 Comparing Sequential Forecasters YJ Choe

07 Oct 2021 Estimating means of bounded random variables by betting Ian Waudby-Smith

30 Sep 2021 Divided Differences, Falling Factorials, and Discrete Splines (Another Look at Trend Filtering and Related Problems) Ryan Tibshirani

16 Sep 2021 Sequential prediction under log-loss and misspecification Shubanshu Shekar

09 Sep 2021 Adaptive Sampling for Convex Regression Ojash Neopane

3 Mar 2020 Understanding the distribution of the Lasso and its applications Yuting Wei

25 Feb 2020 Entry-wise perturbation bounds for eigenvectors Kevin Lin

18 Feb 2020 Learning Minimax Estimators via Online Learning Arun Sai Suggala

11 Feb 2020 Causal Clustering Kwahangho Kim

4 Feb 2020 The Asymptotic Distribution of the MLE in High-dimensional Logistic Models Beomjo Park

28 Jan 2020 Classification accuracy as a proxy for two-sample testing Ilmun Kim

21 Jan 2020 Model-Independent Detection of New Physics Signals Using Semi-Supervised Classifier Tests Purvasha Chakravarti

14 Jan 2020 Universal inference using the split likelihood ratio test Larry Wasserman

14 January 2020 🎉 SMLRG Tin Anniversary Celebrations 🎉 SMLRG

03 Dec 2019 Non-asymptotic sequential test for overlapping hypotheses Jaehyeok Shin

19 Nov 2019 Anytime-valid inference Aaditya Ramdas

12 Nov 2019 Safe testing Boyan Duan

05 Nov 2019 Continuum approximations for wide neural networks and gradient descent Andrew Warren

29 Oct 2019 The Simulator: Understanding Adaptive Sampling in the Moderate Confidence Regime Ojash Neopane

22 Oct 2019 An explanation for random forest success Lucas Mentch

15 Oct 2019 Relaxing smoothness assumptions in nonparametric goodness-of-fit testing problems Alden Green

08 Oct 2019 Knockoffs and the model-X framework for high-dimensional variable selection Gene Katsevich

01 Oct 2019 On testing for biases in peer review Ivan Stelmakh

24 Sep 2019 Understanding Langevin Diffusions Beyond Log-Concavity Andrej Risteski

17 Sep 2019 Average-Case Algorithm Design Using Sum-of-Squares Pravesh Kothari

10 Sep 2019 A projection-free algorithm for constrained optimization problems, with application to sparse PCA Yixuan Qiu

03 Sep 2019 Benign overfitting in linear regression Pratik Patil

07 May 2019 An informal discussion of robust mean estimation Sivaraman Balakrishnan

30 Apr 2019 How to choose a loss function (via an axiomatic approach; for a certain problem) Nihar Shah

16 Apr 2019 Minimax conditional independence testing Matey Neykov

09 Apr 2019 Robust prediction set estimation Pratik Patil

02 Apr 2019 Linear regression A to W Arun Kumar Kuchibhotla

26 Mar 2019 Understanding generalization in kernel ridgeless regression Pratik Patil

19 Mar 2019 There exist interpolation methods with optimal/near-optimal prediction risk under noise Veeranjaneyulu Sadhanala

05 Mar 2019 Some surprises in high-dimensional least squares interpolation Ryan Tibshirani

26 Feb 2019 Asymptotic distributions and rates of convergence for random forests and other resampled ensemble learners Wei Pang

19 Feb 2019 Can we trust the bootstrap in high-dimension? Jing Lei

12 Feb 2019 Ensemble learners, exchangeability, and permutation tests Tim Coleman

05 Feb 2019 Density estimation under Huber’s contamination models Zhao Ren

29 Jan 2019 Being robust (in high dimensions) can be practical Adarsh Prasad

22 Jan 2019 Quantile regression for big data with small memory Xi Chen

15 Jan 2019 The power of online thinning in reducing discrepancy Aaditya Ramdas

04 Dec 2018 Robust estimation of mixing measures in finite mixture models Tudor Manole

20 Nov 2018 Active learning and the optimal decision tree problem Su Jia

13 Nov 2018 Linear-time TV denoising on graphs; trend filtering and discrete derivatives Ryan Tibshirani

16 Oct 2018 A continuous-time view of early stopping for least squares regression Alnur Ali

09 Oct 2018 Marchenko-Pastur asymptotics and the limiting risk of ridge regression Ryan Tibshirani

02 Oct 2018 On file-drawer problems and estimation with truncated data Asaf Weinstein

25 Sep 2018 Online learning, probabilistic inequalities, and the burkholder method Dylan Foster

18 Sep 2018 Uniform, nonparametric, non-asymptotic confidence sequences Steven Howard

11 Sep 2018 Why adaptively collected data have negative bias and how to correct for it Jaehyeok Shin

04 Sep 2018 Exponential line-crossing inequalities Aaditya Ramdas

22 Aug 2018 Accelerating Stochastic Gradient Descent Prateek Jain

30 May 2018 A pliable lasso Rob Tibshirani

08 Mar 2018 Statistical and optimization perspectives on GANs Sivaraman Balakrishnan

01 Mar 2018 GAN tutorial Biswajit Paria

15 Feb 2018 Nonparametric regression with comparisons: escaping the curse of dimensionality with ordinal information Yichong Xu

01 Feb 2018 Stochastic optimization of smooth functions: local minimax rates Yining Wang

18 Jan 2018 Statistical inference for model parameters with stochastic gradient descent Yu-Xiang Wang

30 Nov 2017 Best subset selection vs lasso Ryan Tibshirani

16 Nov 2017 Sequential selective estimation (Gaussian adaptive data analysis) and linear bandits Yu-Xiang Wang

09 Nov 2017 Network embeddings and models with hyperbolic geometry Jisu Kim

02 Nov 2017 Recent advances in robust estimation for the Huber's \epsilon contamination model Simon Du

26 Oct 2017 Bayesian dynamic regression trees Simon Wilson

19 Oct 2017 Random closed sets and their expectations Jaehyeok Shin

12 Oct 2017 A new "permutation-based" look at noisy non-negative matrix completion Nihar Shah

02 Oct 2017 Philosophy of science, principled statistical inference, and data science Todd Kuffner

26 Sep 2017 Asymptotics of objective functionals in semi-supervised learning Dejan Slepcev

19 Sep 2017 Locating the minimum of a function from adaptive queries Yining Wang

12 Sep 2017 Property testing in high dimensional Ising models Matey Neykov

05 Sep 2017 Depth-based nonparametric tests for homogeneity of functional data Gery Geenens

16 Aug 2017 Active learning for cost sensitive classification Akshay Krishnamurthy

03 May 2017 Solving SDPs for synchronization and MaxCut problems via the Grothendieck inequality Dave Choi

19 Apr 2017 Some theoretical results on Thompson sampling for Multi-armed Bandits Kirthevasan Kandasamy

12 Apr 2017 A statistician walks into a deep learning bar… YJ Choe

05 Apr 2017 Cross-Validation with Confidence Jing Lei

29 Mar 2017 How many units of blood will the Stanford Hospital need tomorrow? Rob Tibshirani

22 Mar 2017 On the power of truncated SVD for general high-rank matrix estimation problems Yining Wang

03 Mar 2017 Double machine learning for treatment and causal parameters Edward Kennedy

22 Feb and 01 Mar 2017 Exact post-selection inference with the generalized lasso Justin Hyun

08 Feb 2017 Learning high-dimensional structural equation models Bryon Aragam

01 Feb 2017 Towards practical machine learning with differential privacy and beyond Yu-Xiang Wang

25 Jan 2017 Geometry of the space of phylogenetic trees and their limiting behaviors Jisu Kim

18 Jan 2017 Total variation classes beyond 1d: minimax rates, and the limitations of linear smoothers Veeranjaneyulu Sadhanala

13 Dec 2016 Excess optimism, or: what is the prediction error of an estimator tuned by SURE? Ryan Tibshirani

06 Dec 2016 Error bounds for spectral convergence of empirical graph Laplacians Dejan Slepcev

29 Nov 2016 Estimating whole brain dynamics using spectral clustering Yi Yu

15 Nov 2016 Computationally tractable selection of experiments in regression models Yining Wang

08 Nov 2016 A remark on cross-validation for sparse reduced rank models Yiyuan She

01 Nov 2016 Higher order influence functions and minimax estimation of nonlinear functionals James Robins

25 Oct 2016 Indirect Gaussian graph learning beyond Gaussianity Yiyuan She

18 Oct 2016 Statistical matching with latent variable models Will Bishop

11 Oct 2016 Sketching meets random projection in the dual: a provable recovery algorithms for big and high-dimensional data Mladen Kolar

04 Oct 2016 Discovery and visualization of nonstationary causal models Kun Zhang

27 Sep 2016 Contextual bandit and off-policy evaluation: minimax bounds and new algorithm Yu-Xiang Wang

20 Sep 2016 Nonparametric methods for doubly robust estimation of continuous treatment effects Edward Kennedy

13 Sep 2016 Goodness of fit tests for high-dimensional linear models Rajen Shah

06 Sep 2016 Statistical inference with random forests Lucas Mentch

25 Apr 2016 A Grothendieck-type inequality for local maxima Dave Choi

18 Apr 2016 Algorithmic and statistical perspectives of randomized sketching for ordinary least-squares Garvesh Raskutti

11 Apr 2016 Graph sparsification approaches for laplacian smoothing Veeranjaneyulu Sadhanala

4 Apr 2016 Doubly stochastic primal-dual coordinate method for empirical risk minimization Adams Wei Yu

28 Mar 2016 Sample complexity of episodic fixed-horizon reinforcement learning Christoph Dann

21 Mar 2016 Post-regularization inference for dynamic nonparanormal graphical models Mladen Kolar

14 Mar 2016 Near-optimal minimax subsampling for low-dimensional linear regression Yining Wang

22 Feb 2016 The multi-fidelity bandit Kirthevasan Kandasamy

15 Feb 2016 Latent variable modeling with diversity-inducing mutual Angular Regularization Pengtao Xie

8 Feb 2016 Active search for sparse signals with region sensing Yifei Ma

1 Feb 2016 Algebraic geomtry for the resolution of singularities to singular models Jisu Kim

25 Jan 2016 Internal inference Rob Tibshirani

18 Jan 2016 Minimax theory for ranking from pairwise comparisons Sivaramam Balakrishnan

11 Jan 2016 Understanding adaptive data analysis Yu-Xiang Wang

02 Dec 2015 Topics in differential private machine learning Yu-Xiang Wang

1 Dec 2015 Optimal rates for the random Fourier feature method Zoltan Szabo

25 Nov 2015 The limit of U-Statistic based nonparametric test for conditional independence Kacper Chawialkowski

18 Nov 2015 On online control of false discovery rate Kirthevasan Kandasamy

11 Nov 2015 Covariance sketching: leveraging structure to estimate covariance matrices from compressed samples Gautam Dasarathy

4 Nov 2015 Asymptotic theory for density ridges Yen-Chi Chen

28 October 2015 Generalization in adaptive data analysis and holdout reuse Larry Wasserman

21 October 2015 Graph-guided banding for covariance estimation Jacob Bien

14 October 2015 Random networks, exchangeability and graphical models Alessandro Rinaldo

7 October 2015 Bootstrap techniques for massive data Jing Lei

30 September 2015 An overview of subsampling in linear regression Aarti Singh

23 September 2015 Reach, medial axis, and their stability Jisu Kim

16 September 2015 Simplicial manifold reconstruction via tangent space estimation Eddie Aamari

9 September 2015 Random projection ensemble classification Ryan Tibshirani

19 June 2015 Sequential nonparametric testing with the law of the iterated logarithm Aaditya Ramdas

23 April 2015 Some progress on structured normal means inference Akshay Krishnamurthy

16 April 2015 Statistical inference for topological data analysis Fabrizio Lecci

09 April 2015 Orbit regularization Ranato Negrinho

02 April 2015 Comparing whole-space clusterings Jose Chacon

26 March 2015 Distribution-free transportation-based two sample test Nicolas Garcia Trillos

19 March 2015 Stability theorem for persistent homology Jisu Kim

26 February 2015 A general framework for fast stagewise algorithms Ryan Tibshirani

19 February 2015 All of two sample testing Aaditya Ramdas

12 February 2015 GP bandits Kirthevasan Kandasamy

05 February 2015 A "rant" on assumptions Larry Wasserman

29 January 2015 Nonparametric modal regression Yen-Chi Chen

22 January 2015 Stochastic blockmodels, graphons and K-means clustering Dave Choi

04 Dec 2014 Some elements of mathematical phylogenetics Gautam Dasarathy

20 Nov 2014 Nonparametric estimation of smooth functionals of densities Kirthevasan Kandasamy

13 Nov 2014 Intriguing properties of deep neural networks Cosma Shalizi

06 Nov 2014 Subspace clustering Yu-Xiang Wang

30 Oct 2014 Recent results in multi-Class learnability Ruth Urner

04 Sep 2014 Two sample testing in high dimensions Aaditya Ramdas

09 Oct 2014 Sparse PCA continued Jing Lei

02 Oct 2014 Sparse PCA Jing Lei

25 Sep 2014 What regularized auto-encoders learn from the data generating distribution Ryan Tibshirani

18 Sep 2014 Deep learning: an implementation Kevin Lin

11 Sep 2014 Convolutional neural networks and dropout Amir-Massoud Farahmand

04 Sep 2014 Introduction to deep learning Rob Tibshirani

24 Apr 2014 Collective stability in structured prediction: generalization from one example Cosma Shalizi

17 Apr 2014 Differential privacy Yu-Xiang Wang

10 Apr 2014 Continuum limit of total variation on point clouds Nicolas Garcia Trillos

03 Apr 2014 High-dimensional covariance estimation Aaditya Ramdas

27 Mar 2014 Density functional estimation Barnabas Poczos

20 Mar 2014 On robust regression with high-dimensional predictors Jing Lei

06 Mar 2014 Degrees of freedom and model search Ryan Tibshirani

27 Feb 2014 Stein's method for concentration inequalities Alessandro Rinaldo

20 Feb 2014 A CLT and tight lower bounds for estimating entropy Akshay Krishnamurthy

13 Feb 2014 Stein's method; part II (section 12 onwards) Larry Wasserman

06 Feb 2014 Stein's method; section 7 Larry Wasserman

30 Jan 2014 Stein's method; sections 4, 5, 6, 8 Larry Wasserman

23 Jan 2014 Stein's method; sections 1-3 Larry Wasserman

16 Jan 2014 Persistent homology Fabrizio Lecci

20 Nov 2013 Confidence intervals and hypothesis testing for high-dimensional regression Aaditya Ramdas

13 Nov 2013 Sum of squares graphical models Zico Kolter

06 Nov 2013 Mean-shift algorithms for clustering and manifold denoising Miguel Carreira Perpinan

30 Oct 2013 Fantope projection and selection: near-optimal convex relaxation of sparse PCA Jing Lei

20 Nov 2013 Confidence intervals and hypothesis testing for high-dimensional regression Aaditya Ramdas

23 Oct 2013 Almost surely something fun! Rob Tibshirani

16 Oct 2013 A bandit tour of sequential decision making Aaditya Ramdas

09 Oct 2013 Normal means over planted clique graphs Akshay Krishnamurthy

02 Oct 2013 High-dimensional bootstrap Larry Wasserman

25 Sep 2013 Uniform rates of convergence for k-means and (some) Gaussian mixtures Matus Telgarsky

18 Sep 2013 Breakpoint detection of nonstationary time series using wild binary segmentation Karolos Korkas

11 Sep 2013 Persistent statbility for geometric complexes Frederic Chazal

18 Apr 2013 Computational lower bounds for sparse PCA Mladen Kolar

11 Apr 2013 A significance test for the lasso Ryan Tibshirani

04 Apr 2013 Learning theory estimates via integral operators and their approximations Ina Fiterau

28 Mar 2013 Computational and statistical tradeoffs via convex relaxation Sohail Bahmani

21 Mar 2013 Second order comparison of Gaussian random functions and the geometry of DNA minicircles Jing Lei

07 Mar 2013 Topological ideas in computer science Amir Nayyeri

28 Feb 2013 Metric graph reconstruction from noisy data Fabrizio Lecci

21 Feb 2013 Spectral clustering based on local PCA Akshay Krishnamurthy

14 Feb 2013 Robust kernel density estimation Martin Azizyan

07 Feb 2013 Wigner's semicircle law and random matrix theory James Sharpnack

31 Jan 2013 A framework for estimation of convex functions Aarti Singh

24 Jan 2013 Game theory, mechanism design, and connections to statistics Min Xu

17 Jan 2013 Almost surely something fun! Xi Chen

03 Dec 2012 Convex analysis and optimization with submodular functions: a tutorial James Sharpnack

26 Nov 2012 Almost surely something fun! Daniella Witten

19 Nov 2012 Bayesian models for record linkage Rebecca Steorts

12 Nov 2012 Optimal rates of convergence for estimating toeplitz covariance matrices Sohail Bahmani

05 Nov 2012 Confidence sets in sparse regression Ina Fiterau

29 Oct 2012 Privacy aware learning Akshay Krishnamurthy

22 Oct 2012 Shapes of Gaussian mixture models Brittany Fasy

15 Oct 2012 Learning bounds for importance weighting Cosma Shalizi

08 Oct 2012 Pairwise variable selection for high-dimensional model-based clustering Martin Azizyan

01 Oct 2012 Correlated variables in regression: clustering and sparse estimation Mladen Kolar

24 Sep 2012 Challenge problem Ryan Tibshirani

17 Sep 2012 Connections between logic and probability, random SAT instances and phase transitions Aaditya Ramdas

10 Sep 2012 Optimal stochastic convex optimization through the lens of active learning Aaditya Ramdas

26 Mar 2012 The lasso, correlated design, and improved oracle inequalities Mladen Kolar

19 Mar 2012 A geometric analysis of subspace clustering with outliers Sivaramam Balakrishnan

05 Mar 2012 On low-dimensional projections of high-dimensional distributions Martin Azizyan

27 Feb 2012 Tight conditions for consistent variable selection in high dimensional nonparametric regression Ian Fiterau

20 Feb 2012 Lower bounds for passive and active learning Steve Hanneke

13 Feb 2012 Noisy independent factor analysis model for density estimation and classification Larry Wasserman

06 Feb 2012 Variance estimation using refitted cross-validation in ultrahigh dimensional regression James Sharpnack

30 Jan 2012 Simpler approach to matrix completion Aaditya Ramdas

23 Jan 2012 Minimax rates of estimation for sparse PCA in high dimensions Vince Vu

17 Nov 2011 Approximation of functions of few variables in high dimensions Ina Fiterau

10 Nov 2011 Almost surely something fun! James Sharpnack

03 Nov 2011 Almost surely something fun! Martin Azizyan

27 Oct 2011 Cross validation is risk consistent for lasso Barren Homrighausen and Dan McDonald

20 Oct 2011 Almost surely something fun! Rob Tibshirani

06 Oct 2011 High-dimensional regression with noisy and missing data: provable guarantees with non-convexity Akshay Krishnamurthy

22 Sep 2011 Spectral methods for learning multivariate latent tree structure Ankur Parikh

15 Sep 2011 Calibrated forecasters Aaditya Ramdas

08 Sep 2011 Neyman-Pearson classification, convexity and stochastic constraints Sivaraman Balakrishnan

01 Sep 2011 The benefit of group sparsity Min Xu

20 Apr 2011 Empirical risk minimization in inverse problems Darren Homrighausen

30 Mar 2011 High-dimensional analysis of semidefinite relaxations for sparse principal components Mladen Kolar

23 Mar 2011 Online learning Aaditya Ramdas

16 Mar 2011 Dynamics of Bayesian updating with dependent data and misspecified models Cosma Shalizi

04 Mar 2011 Noisy matrix decomposition via convex relaxation: optimal rates in high dimensions Alekh Agarwal

23 Feb 2011 Information theoretic model validation for clustering Larry Wasserman

16 Feb 2011 Nuclear norm penalization and optimal rates for noisy low rank matrix completion Akshay Krishnamurthy

09 Feb 2011 Stability bounds for stationary phi-mixing and beta-mixing processes Dan McDonald

02 Feb 2011 Concentration inequalities of the cross-validation estimate for stable predictors Martin Azizyan

26 Jan 2011 The sample complexity of dictionary learning Min Xu

21 Jan 2011 Detection of an anomalous cluster in a network James Sharpnack

14 Jan 2011 High dimensional structure learning of ising models on sparse random graphs Divyanshu Vats

17 Nov 2010 Distribution-specific agnostic boosting Steve Hanneke

10 Nov 2010 Rates of convergence for the cluster tree Sivaramam Balakrishnan

03 Nov 2010 Implementing regularization implicitly via approximate eigenvector computation Shiva Kaul

27 Oct 2010 SPADES and mixture models Darren Warren Homrighausen

13 Oct 2010 A new analysis of co-training Martin Azizyan

06 Oct 2010 A framework for feature selection in clustering Larry Wasserman

29 Sep 2010 Learning latent tree graphical models Akshay Krishnamurthy

22 Sep 2010 Spectral clustering based on local linear approximations James Sharpnack

15 Sep 2010 Latent variable graphical model selection via convex optimization Aarti Singh

08 Sep 2010 Lossy source compression using low-density generator matrix codes: analysis and algorithms Min Xu

01 Sep 2010 VC bounds on the cardinality of nearly orthogonal function classes Shiva Kaul

2009-2010 And there was once a beginning!

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2009-2010