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pith:QTWK7M5E

pith:2026:QTWK7M5EILECIDJ6DG5ADQ4BWN

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LoMETab: Beyond Rank-1 Ensembles for Tabular Deep Learning

Changryeol Choi, Gowun Jeong, Hyewon Park, Yujin Kwon

LoMETab generalizes rank-1 multiplicative ensembles to rank-r adapters for tabular models, strictly enlarging the hypothesis class and exposing tunable diversity controls.

arxiv:2605.14365 v1 · 2026-05-14 · cs.LG · cs.AI

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Claims

C1strongest claim

We prove that for r >= 2 this generalization strictly enlarges BatchEnsemble's hypothesis class. Empirically, LoMETab sustains higher pairwise KL than an additive low-rank ablation, and (r, sigma_init) provides broad control over pairwise KL, varying by up to several orders of magnitude.

C2weakest assumption

That the added representational capacity and induced diversity will translate into practically useful predictive behavior rather than merely dataset-dependent variation; the abstract reports that performance over the (r, sigma_init) grid is dataset-dependent.

C3one line summary

LoMETab is a rank-r generalization of multiplicative implicit ensembles that strictly enlarges the hypothesis class for r >= 2 and supplies tunable control over predictive diversity via adapter rank and initialization scale.

References

23 extracted · 23 resolved · 0 Pith anchors

[1] Optuna: A next-generation hyperparameter optimization framework 2019

[2] XGBoost: A scalable tree boosting system 2016

[3] Masksembles for uncertainty estimation 2021

[4] On embeddings for numerical features in tabular deep learning 2022

[5] TabR: Tabular deep learning meets nearest neighbors 2024

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-17T23:39:07.897817Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

84ecafb3a442c8240d3e19ba01c381b3403c2a41856742679b94a189962e09d8

Aliases

arxiv: 2605.14365 · arxiv_version: 2605.14365v1 · doi: 10.48550/arxiv.2605.14365 · pith_short_12: QTWK7M5EILEC · pith_short_16: QTWK7M5EILECIDJ6 · pith_short_8: QTWK7M5E

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curl -sH 'Accept: application/ld+json' https://pith.science/pith/QTWK7M5EILECIDJ6DG5ADQ4BWN \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 84ecafb3a442c8240d3e19ba01c381b3403c2a41856742679b94a189962e09d8

Canonical record JSON

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    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-05-14T04:47:16Z",
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