• May 18, 2024 — Major update
• Jan 08, 2024 — Major update
• Apr 29, 2023 — Major update
• Apr 29, 2023 — Major update
• Aug 01, 2022 — Journal on neural network training accepted at Transactions on Machine Learning Research (TMLR)
• Jun 26, 2022 — Two papers accepted at UAI 2022
• Jun 26, 2022 — Distributed factored gradient descent for QST is accepted at L-CSS/CDC
• Jun 25, 2022 — Rice joins forces on deep learning + biosciences (Nature Communications)
• Jun 24, 2022 — IST paper is accepted at VLDB 2022
• Feb 12, 2022 — Two papers accepted at L4DC 2022
• Feb 12, 2022 — Two papers accepted at ICASSP 2022
• Feb 12, 2022 — REX - Revisiting Budgeted Training with an Improved Schedule is accepted at MLSys 2022
• Feb 10, 2022 — PipeGCN - Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication is accepted at ICLR 2022
• Oct 26, 2021 — Mitigating deep double descent by concatenating inputs is accepted at CIKM 2021
• Oct 01, 2021 — Solving hybrid Boolean constraints in continuous space via multilinear Fourier expansions accepted at Artificial Intelligence Journal (Elsevier)
• May 30, 2021 — Robust optimization-based motion planning for high-DOF robots under sensing uncertainty at ICRA 2021
• Feb 09, 2021 — Bayesian Coresets - Revisiting the Nonconvex Optimization Perspective at AISTATS 2021.
• Feb 08, 2021 — On Continuous Local BDD-Based Search for Hybrid SAT Solving at AAAI 2021.
• Jul 12, 2020 — Negative sampling in semi-supervised learning at ICML 2020.
• May 05, 2020 — Workshop on optimization methods got accepted at ICML 2020!
• Mar 25, 2020 — Semi-supervised learning (SSL) - A systematic survey
• Mar 06, 2020 — Solution uniqueness on overparameterized matrix sensing at AISTATS 2020.
• Mar 05, 2020 — An updated overview of recent gradient descent algorithms
• Feb 06, 2020 — FourierSAT at AAAI 2020.
• Dec 06, 2019 — Learning Sparse Distributions using Iterative Hard Thresholding at NeurIPS 2019.
• Aug 15, 2019 — Rice’s Data to Knowledge team gives recommendation to Houston City Council
• Aug 05, 2019 — Workshop on optimization methods got accepted at NeurIPS 2019!
• Jun 20, 2019 — Compressing Gradient Optimizers via Count-Sketches at ICML 2019.
• Jun 02, 2019 — Panic attacks during public speaking
• Aug 20, 2018 — Our algorithm in the news!
• Aug 01, 2018 — Fast and provable algorithms for QST at Nature.
• Jun 02, 2018 — Simple algorithms for low-rank approximations at UAI 2018.
• Jun 02, 2018 — IHT-dies-hard paper got accepted at AISTATS 2018.
• Nov 08, 2017 — Statistical inference using SGD got accepted at AAAI 2018.
• Oct 18, 2017 — Setting up a Nvidia GPU-equipped computer
• Mar 15, 2017 — Our paper in AISTATS 2017
• Sep 16, 2016 — Non-convex workshop at ICML 2016 - Part I
• Jun 12, 2016 — Papers in ICML 2016 & COLT 2016
• Mar 28, 2016 — Workshop on non-convex methods at ICML 2016!
• Mar 27, 2016 — Simons Seminar at UT
• Jan 09, 2016 — Telling a story about IHT using Python (Chapter II)
• Jan 04, 2016 — Three papers accepted to AISTATS 2016
• Dec 12, 2015 — Telling a story about IHT using Python (Chapter I)
• Nov 07, 2015 — Seminars at UT
• Aug 11, 2015 — New webpage (under construction)