<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Paper-Conference | Kolar ML Lab</title><link>https://mkolar.coffeejunkies.org/publication-type/paper-conference/</link><atom:link href="https://mkolar.coffeejunkies.org/publication-type/paper-conference/index.xml" rel="self" type="application/rss+xml"/><description>Paper-Conference</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Fri, 28 Apr 2023 00:00:00 +0000</lastBuildDate><image><url>https://mkolar.coffeejunkies.org/media/icon_hu_d95fdac2d0e08a71.png</url><title>Paper-Conference</title><link>https://mkolar.coffeejunkies.org/publication-type/paper-conference/</link></image><item><title>One Policy is Enough: Parallel Exploration with a Single Policy is Minimax Optimal for Reward-Free Reinforcement Learning</title><link>https://mkolar.coffeejunkies.org/publication/cisneros-velarde-2022-one/</link><pubDate>Fri, 28 Apr 2023 00:00:00 +0000</pubDate><guid>https://mkolar.coffeejunkies.org/publication/cisneros-velarde-2022-one/</guid><description/></item><item><title>Differentially Private Matrix Completion through Low-rank Matrix Factorization</title><link>https://mkolar.coffeejunkies.org/publication/wang-2023-differentially-private-matrix/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://mkolar.coffeejunkies.org/publication/wang-2023-differentially-private-matrix/</guid><description/></item><item><title>Gradient-Variation Bound for Online Convex Optimization with Constraints</title><link>https://mkolar.coffeejunkies.org/publication/qiu-2020-gradient/</link><pubDate>Tue, 01 Nov 2022 00:00:00 +0000</pubDate><guid>https://mkolar.coffeejunkies.org/publication/qiu-2020-gradient/</guid><description/></item><item><title>Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning</title><link>https://mkolar.coffeejunkies.org/publication/lyu-2022-pessimism/</link><pubDate>Fri, 01 Jul 2022 00:00:00 +0000</pubDate><guid>https://mkolar.coffeejunkies.org/publication/lyu-2022-pessimism/</guid><description/></item><item><title>Dynamic Regret Minimization for Control of Non-stationary Linear Dynamical Systems</title><link>https://mkolar.coffeejunkies.org/publication/luo-2022-dynamic/</link><pubDate>Wed, 01 Jun 2022 00:00:00 +0000</pubDate><guid>https://mkolar.coffeejunkies.org/publication/luo-2022-dynamic/</guid><description/></item><item><title>Robust Inference for High-Dimensional Linear Models via Residual Randomization</title><link>https://mkolar.coffeejunkies.org/publication/wang-2021-robust/</link><pubDate>Thu, 01 Jul 2021 00:00:00 +0000</pubDate><guid>https://mkolar.coffeejunkies.org/publication/wang-2021-robust/</guid><description/></item><item><title>Provably Efficient Neural Estimation of Structural Equation Model: An Adversarial Approach</title><link>https://mkolar.coffeejunkies.org/publication/liao-2020-provably/</link><pubDate>Tue, 01 Dec 2020 00:00:00 +0000</pubDate><guid>https://mkolar.coffeejunkies.org/publication/liao-2020-provably/</guid><description/></item><item><title>Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees</title><link>https://mkolar.coffeejunkies.org/publication/na-2020-semiparametric/</link><pubDate>Mon, 02 Mar 2020 00:00:00 +0000</pubDate><guid>https://mkolar.coffeejunkies.org/publication/na-2020-semiparametric/</guid><description/></item><item><title>Partially Linear Additive Gaussian Graphical Models</title><link>https://mkolar.coffeejunkies.org/publication/geng-2019-partially/</link><pubDate>Sat, 01 Jun 2019 00:00:00 +0000</pubDate><guid>https://mkolar.coffeejunkies.org/publication/geng-2019-partially/</guid><description/></item><item><title>Learning Influence-Receptivity Network Structure with Guarantee</title><link>https://mkolar.coffeejunkies.org/publication/yu-2018-learning/</link><pubDate>Mon, 01 Apr 2019 00:00:00 +0000</pubDate><guid>https://mkolar.coffeejunkies.org/publication/yu-2018-learning/</guid><description/></item><item><title>Joint Nonparametric Precision Matrix Estimation with Confounding</title><link>https://mkolar.coffeejunkies.org/publication/geng-2018-joint/</link><pubDate>Mon, 01 Jan 2018 00:00:00 +0000</pubDate><guid>https://mkolar.coffeejunkies.org/publication/geng-2018-joint/</guid><description/></item><item><title>Provable Gaussian Embedding with One Observation</title><link>https://mkolar.coffeejunkies.org/publication/yu-2018-provable/</link><pubDate>Mon, 01 Jan 2018 00:00:00 +0000</pubDate><guid>https://mkolar.coffeejunkies.org/publication/yu-2018-provable/</guid><description/></item><item><title>Efficient Distributed Learning with Sparsity</title><link>https://mkolar.coffeejunkies.org/publication/wang-2016-efficient/</link><pubDate>Tue, 01 Aug 2017 00:00:00 +0000</pubDate><guid>https://mkolar.coffeejunkies.org/publication/wang-2016-efficient/</guid><description/></item><item><title>Sketching Meets Random Projection in the Dual: A Provable Recovery Algorithm for Big and High-dimensional Data</title><link>https://mkolar.coffeejunkies.org/publication/wang-2016-sketching/</link><pubDate>Sat, 01 Apr 2017 00:00:00 +0000</pubDate><guid>https://mkolar.coffeejunkies.org/publication/wang-2016-sketching/</guid><description/></item><item><title>An Influence-Receptivity Model for Topic based Information Cascades</title><link>https://mkolar.coffeejunkies.org/publication/yu-2017-influence/</link><pubDate>Sun, 01 Jan 2017 00:00:00 +0000</pubDate><guid>https://mkolar.coffeejunkies.org/publication/yu-2017-influence/</guid><description/></item><item><title>The Expxorcist: Nonparametric Graphical Models Via Conditional Exponential Densities</title><link>https://mkolar.coffeejunkies.org/publication/suggala-2017-expxorcist/</link><pubDate>Sun, 01 Jan 2017 00:00:00 +0000</pubDate><guid>https://mkolar.coffeejunkies.org/publication/suggala-2017-expxorcist/</guid><description/></item><item><title>Distributed Multi-Task Learning</title><link>https://mkolar.coffeejunkies.org/publication/wang-2015-distributed/</link><pubDate>Sun, 01 May 2016 00:00:00 +0000</pubDate><guid>https://mkolar.coffeejunkies.org/publication/wang-2015-distributed/</guid><description/></item><item><title>Inference for High-dimensional Exponential Family Graphical Models</title><link>https://mkolar.coffeejunkies.org/publication/wang-2016-inference/</link><pubDate>Fri, 01 Jan 2016 00:00:00 +0000</pubDate><guid>https://mkolar.coffeejunkies.org/publication/wang-2016-inference/</guid><description/></item><item><title>Statistical Inference for Pairwise Graphical Models Using Score Matching</title><link>https://mkolar.coffeejunkies.org/publication/yu-2016-statistical/</link><pubDate>Fri, 01 Jan 2016 00:00:00 +0000</pubDate><guid>https://mkolar.coffeejunkies.org/publication/yu-2016-statistical/</guid><description/></item><item><title>Feature Selection in High-Dimensional Classification</title><link>https://mkolar.coffeejunkies.org/publication/kolar-13-road/</link><pubDate>Tue, 01 Jan 2013 00:00:00 +0000</pubDate><guid>https://mkolar.coffeejunkies.org/publication/kolar-13-road/</guid><description/></item><item><title>Markov Network Estimation From Multi-attribute Data</title><link>https://mkolar.coffeejunkies.org/publication/kolar-13-multiatticml/</link><pubDate>Tue, 01 Jan 2013 00:00:00 +0000</pubDate><guid>https://mkolar.coffeejunkies.org/publication/kolar-13-multiatticml/</guid><description/></item><item><title>Consistent Covariance Selection From Data With Missing Values</title><link>https://mkolar.coffeejunkies.org/publication/kolar-2012-consistent/</link><pubDate>Sun, 01 Jul 2012 00:00:00 +0000</pubDate><guid>https://mkolar.coffeejunkies.org/publication/kolar-2012-consistent/</guid><description/></item><item><title>Variance Function Estimation in High-dimensions</title><link>https://mkolar.coffeejunkies.org/publication/kolar-2012-variance/</link><pubDate>Sun, 01 Jul 2012 00:00:00 +0000</pubDate><guid>https://mkolar.coffeejunkies.org/publication/kolar-2012-variance/</guid><description/></item><item><title>Marginal Regression For Multitask Learning</title><link>https://mkolar.coffeejunkies.org/publication/kolar-2012-marginal/</link><pubDate>Sun, 01 Jan 2012 00:00:00 +0000</pubDate><guid>https://mkolar.coffeejunkies.org/publication/kolar-2012-marginal/</guid><description/></item><item><title>Minimax Localization of Structural Information in Large Noisy Matrices</title><link>https://mkolar.coffeejunkies.org/publication/kolar-2011-minimax/</link><pubDate>Sat, 01 Jan 2011 00:00:00 +0000</pubDate><guid>https://mkolar.coffeejunkies.org/publication/kolar-2011-minimax/</guid><description/></item><item><title>On Time Varying Undirected Graphs</title><link>https://mkolar.coffeejunkies.org/publication/kolar-2011-time/</link><pubDate>Sat, 01 Jan 2011 00:00:00 +0000</pubDate><guid>https://mkolar.coffeejunkies.org/publication/kolar-2011-time/</guid><description/></item><item><title>Statistical and computational tradeoffs in biclustering</title><link>https://mkolar.coffeejunkies.org/publication/balakrishnan-2011-statistical/</link><pubDate>Sat, 01 Jan 2011 00:00:00 +0000</pubDate><guid>https://mkolar.coffeejunkies.org/publication/balakrishnan-2011-statistical/</guid><description/></item><item><title>On Sparse Nonparametric Conditional Covariance Selection</title><link>https://mkolar.coffeejunkies.org/publication/kolar-10-nonparametric/</link><pubDate>Fri, 01 Jan 2010 00:00:00 +0000</pubDate><guid>https://mkolar.coffeejunkies.org/publication/kolar-10-nonparametric/</guid><description/></item><item><title>Ultra-high Dimensional Multiple Output Learning With Simultaneous Orthogonal Matching Pursuit: Screening Approach</title><link>https://mkolar.coffeejunkies.org/publication/kolar-10-ultrahigh/</link><pubDate>Fri, 01 Jan 2010 00:00:00 +0000</pubDate><guid>https://mkolar.coffeejunkies.org/publication/kolar-10-ultrahigh/</guid><description/></item><item><title>Sparsistent Learning Of Varying-coefficient Models With Structural Changes</title><link>https://mkolar.coffeejunkies.org/publication/kolar-09-nips-tv-paper/</link><pubDate>Thu, 01 Jan 2009 00:00:00 +0000</pubDate><guid>https://mkolar.coffeejunkies.org/publication/kolar-09-nips-tv-paper/</guid><description/></item><item><title>Time-varying Dynamic Bayesian Networks</title><link>https://mkolar.coffeejunkies.org/publication/song-09-time/</link><pubDate>Thu, 01 Jan 2009 00:00:00 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